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Paper Citation Record · LEDGER

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 100 inbound Pith citation observations for arXiv:2006.03654.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2006.03654 v6

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T04:50:53.587891Z

measured 144 of 144 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 100 of 188 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:26:24.656130Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact18
  • verified fuzzy19
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

430
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7ca0e485-5098-42d6-a714-ba76932499bd · outbound

This paper cites Layer Normalization.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Layer Normalization

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.639387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:fad68f5322913d2b8b41732cddf42b4aeed77c86486ff0b8260c5d23d37c3d06

Observation d1041589-d5f8-484b-a6e7-110ebfbfe69e · outbound

This paper cites Longformer: The Long-Document Transformer.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Longformer: The Long-Document Transformer

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.614098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:45bbeb7bd9b80d0f5836faecf2b1b2e6e293afb69e9b67d1625b21bb9a581dfe

Observation de7075f8-bd9e-44dd-9d8c-d2604e38774e · outbound

This paper cites Language Models are Few-Shot Learners.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Language Models are Few-Shot Learners

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.617499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:63c3bc6ca562fcd6a8fa907b7c1d3958e4a5cdb9f36ba0683c17773fb8611164

Observation 9f1a602f-8de5-4944-8023-3b9375cc1505 · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.621159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:d1dd473d3bc573db0c681bd2bb6d719022e761574a917e882745511aef53811f

Observation a9d6f719-8909-435a-85cf-6a6d9f0fbc85 · outbound

This paper cites Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.625453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:05fe4e00bbc9d123f2f100b936b3e133b6a22d5362648890377131a2d97b93a2

Observation c309315a-fd4f-47e1-9eca-1481c5b41300 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Generating Long Sequences with Sparse Transformers

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.628989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:33fe365d33d0869339cefda37ca9805a773bc1855fb891b8adcfc1274d649676

Observation 93466457-881d-49fe-b764-5a02e223af2f · outbound

This paper cites BoolQ: Exploring the surprising difficulty of natural yes/no questions.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention BoolQ: Exploring the surprising difficulty of natural yes/no questions

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.713585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:fa4cf8569382a6f58eecb11ecaa72eeb486d5157bd04ae15dded1b73eaaf7844

Observation efa5a2bd-3957-4fa5-bcf8-6f4b0d391a9c · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.704302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:09bf3ec4ad367d44efe9f7e9a1b6424f71dc8d1ef7b1e48e2ee1e858a65e6e0e

Observation b56d00c7-ce6b-4c4b-887d-508183b9eb5b · outbound

This paper cites Automatically constructing a corpus of sentential paraphrases.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Automatically constructing a corpus of sentential paraphrases

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.706411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:2cd0f6991bf5b51d3de6b617e53624b9fe4305e07f37e3468f3dc51b3f17c2b4

Observation 4d9e50cd-5fca-462d-b52d-7eea56ef6a90 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.636144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:2ba16a3eedf89ec250c874ccf83b99448d1506eb239cad6da6c7fd487da3a451

Observation cf1c1692-06a2-4247-8a3b-12f8c54bf9aa · outbound

This paper cites A Hybrid Neural Network Model for Commonsense Reasoning.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention A Hybrid Neural Network Model for Commonsense Reasoning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.632775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:13f22134207f8c45306c886b3124b227995cef4e858c30d96e6fbd664bf76387

Observation b5646811-d8b6-4d7f-930d-e5a40c177c09 · outbound

This paper cites Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S Weld, Luke Zettlemoyer, and Omer Levy.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S Weld, Luke Zettlemoyer, and Omer Levy

Reference 12

Resolution
verified exact
doi, observed 2026-05-13T04:50:53.609812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:adbf8685e3c1c4a29c761a4f846a5438e35af52d941291c31ded1db7fbb6eb50

Observation 610cb5a2-fd02-42a8-a137-3623c776bb86 · outbound

This paper cites Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.642537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:fd27d820eecd5a2c729621a85196e2fbd30078afe698b0db5bd06ed23a297080

Observation f36648d4-d7b3-4d57-b4d0-831e0578bb6a · outbound

This paper cites Looking beyond the surface: A challenge set for reading comprehension over multiple sentences.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Looking beyond the surface: A challenge set for reading comprehension over multiple sentences

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.718095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:afa1738d634f5aa8a90d571c070355e2c9c187e28866512c6b3cd417e9b0c698

Observation d0fdcac7-8c94-462f-a47a-6fda02a0f233 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Adam: A Method for Stochastic Optimization

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.645380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:28667b68e6fa3e3b559a8066edfeb4cea08c6c7c3025f77549731d360be55445

Observation ade7e4d7-4083-4a6d-a982-33ca647113c7 · outbound

This paper cites Race: Large-scale reading comprehension dataset from examinations.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Race: Large-scale reading comprehension dataset from examinations

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.722195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:5b6e5f94c52b1ae6479e2d8cd5d104f496bbf88549502cef8b34dc075305bdfc

Observation f1d9fdb0-6028-4886-8541-85f180108e62 · outbound

This paper cites The Winograd schema challenge.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention The Winograd schema challenge

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.724379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:1ea2f01e5341e9fb2f9126d1accd4e27e2e0c8b9b7f320cc5105f9e5e5f9078f

Observation c14f9ae4-4ca9-4814-9f67-8f5951ab12f1 · outbound

This paper cites Adversarial Training for Large Neural Language Models.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Adversarial Training for Large Neural Language Models

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:50:53.648799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:d037db80d3e76cc25d81c6a7771d26ed670696951cff59cd124993be5777374e

Observation aa4f25a6-5599-4f67-b9a7-369e05bfe402 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.652209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:b9fcda3880b19e4719a4f471f7f6bb30539041abea3b6ba9424cad04577b8ca9

Observation f8483349-cc98-4e06-858b-4bbcd12a15a9 · outbound

This paper cites Deep Learning Based Text Classification: A Comprehensive Review.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Deep Learning Based Text Classification: A Comprehensive Review

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.655624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:0b115f436db7f633cd4324ddef36cd56f92686a536185c90203d21f071e0cfb7

Observation f8272f1e-aa62-4347-98d6-5333b976c9ca · outbound

This paper cites Virtual adversarial training: a regularization method for supervised and semi-supervised learning.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Virtual adversarial training: a regularization method for supervised and semi-supervised learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.732873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:a053de459fbe322472a1c8f97b95046e6ab56217bf4f7d8310936e8477bcf2e9

Observation 00aece18-20b8-4f0c-a497-a36e4cdb9a0f · outbound

This paper cites Wic: the word-in-context dataset for evaluating context-sensitive meaning representations.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Wic: the word-in-context dataset for evaluating context-sensitive meaning representations

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.681251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:c2d11e898155c2a0016a89a2ffdd4732a7e909561df49413bcbd64eaeb7be185

Observation 7f60e6bd-e0ce-465e-9c6e-f16758b9342c · outbound

This paper cites Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.684218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:738216241ba95b35706c4694f0d00ba22a728bdf7a9c5e984e044a6f0c0e7b13

Observation 5c906323-b3ab-40d4-808b-37feb3c3ec8d · outbound

This paper cites an unresolved cited work.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Unresolved cited work

Reference 24

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unresolved
raw_fallback, observed 2026-05-13T04:50:53.686265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:d830d24f69f0d1dbcebc64eb5960490570b99e9507f4d5871930b543ebf10a83

Observation 1254f68f-6df5-4bae-bec7-9842a63a1903 · outbound

This paper cites Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.658911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:506b45a7dccb971e0a41cc8aedc6c12bc157e68147a0c55de158f948cebdfb64

Observation 9406db19-4924-4a37-b390-1737ccff2514 · outbound

This paper cites Self-attention with relative position representations.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Self-attention with relative position representations

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.691450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:b07bb0c0381e4353f0c16956f00154fab0f2173d9a5ad73e61f393b9c13f7010

Observation 46c72c95-bf5d-492b-af5b-ad86ea7077c3 · outbound

This paper cites Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.662075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:0da0406186eaa42fc1235bcbb6a6984d8f837f00b9b19492da61fc0d8b5e26b4

Observation 75df99bf-b7de-470f-8b0e-5154a04a4374 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:50:53.664901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:14f3b27ba7a81c78ed5e0beafef1554d8259adce9725bf48907b4d450eb64d50

Observation 55c50582-c591-4643-9e60-795cb2fa5547 · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Recursive deep models for semantic compositionality over a sentiment treebank

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.698963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:34f75fdcebfad4148b564649bb189bc04b469cf3fb3e99bafce36847bba00f03

Observation 3ebca442-c62c-406a-8516-265d029a1d28 · outbound

This paper cites ERNIE: Enhanced Representation through Knowledge Integration.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention ERNIE: Enhanced Representation through Knowledge Integration

Reference 30

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verified exact
arxiv_id, observed 2026-05-13T04:50:53.668522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:98f32a70d7c94f95fd55ec72a13dc7ba4818f9dd1da2345833d8390a3fd28900

Observation 2a1863f2-6513-4f97-986f-6512769f94c0 · outbound

This paper cites A Simple Method for Commonsense Reasoning.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention A Simple Method for Commonsense Reasoning

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:50:53.671890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:648e7bdff761ed200713303072e1fbe53f7fcd15d89b38f031bcc6570304d7ed

Observation 6dcf605b-d1ea-4ff6-94d8-338b6c96991c · outbound

This paper cites StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:50:53.675100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:735f41c1ef5383291513d7df1c4cddf3c9145c1f4343a094640aefefb5098db8

Observation 42630179-d661-465b-a868-dd990c8a37a1 · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention A broad-coverage challenge corpus for sentence understanding through inference

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.715737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:a85ab238cd7d3c70762d68fbe4e58fef76887b5c2fcd371f384c0863734bcde5

Observation 0b3a58a7-b7c0-4796-83f7-bbd571ade512 · outbound

This paper cites Swag: A large-scale adversarial dataset for grounded commonsense inference.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Swag: A large-scale adversarial dataset for grounded commonsense inference

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.720136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:565939a1309a295de6736267036cd673c0640ba967c2336ef107d11ff8ab9c9d

Observation 014dcc84-21e7-4785-bd04-b6142d82c066 · outbound

This paper cites ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Reference 35

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verified exact
arxiv_id, observed 2026-05-13T04:50:53.678949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:ee5bb6d836f728c54232026f61feac0d5537ffdc76b5667c26fa3c9ae6ae39f3

Observation 653369c9-df7b-4b08-a5dd-47c264d72191 · outbound

This paper cites an unresolved cited work.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Unresolved cited work

Reference 36

Resolution
malformed identifier
raw_fallback, observed 2026-05-13T04:50:53.728872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:a4a981e8d25184f11ec1c00365db91acf022a4c42426864b5fcbb0072699e84e

Observation 9280312f-33a1-4f28-8635-e990d50a18d3 · outbound

This paper cites an unresolved cited work.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-13T04:50:53.730715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:67bce91ee2a325ca57bc2275c3a9ffa5331abb521c0c466d5647e46f0bd856fd

Observation 14ca8369-562d-49bd-b38a-fd21577ffa1d · outbound

This paper cites Their passages come from approximately 500 Wikipedia articles and the questions and answers are obtained by crowd- sourcing.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Their passages come from approximately 500 Wikipedia articles and the questions and answers are obtained by crowd- sourcing

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.688593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:4778f0b0071ef14a908756d7c60d0659e02dd986fe7f44cccc248bbf768f15da

Observation 820dc5cb-2f39-41f5-8361-4a64ac420e44 · outbound

This paper cites The total data size after data deduplication(Shoeybi et al.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention The total data size after data deduplication(Shoeybi et al

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.694189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:7dd8dec71815e66fbac69aa991e598d856ba9208a8f69cec0c1faebb86251bf5

Observation 4f8e554e-fb56-426f-a3a9-0023dd2235d4 · outbound

This paper cites For fine-tuning, even though we can get better and robust results with RAdam(Liu et al., 2019a) on some tasks, e.g.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention For fine-tuning, even though we can get better and robust results with RAdam(Liu et al., 2019a) on some tasks, e.g

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.696613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:ceefa34f2a4b92d50c39dcd21cabbd16dc98e9d2c38d9ce8b0e4a22c9f946a46

Observation 854e854d-6c46-41ed-a6ca-1e4b3f1a14bf · outbound

This paper cites Our code is implemented based on Huggingface Transformers11, FairSeq12 and Megatron (Shoeybi et al., 2019)13.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Our code is implemented based on Huggingface Transformers11, FairSeq12 and Megatron (Shoeybi et al., 2019)13

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.701681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:6314fc1e57cf87273b0e7d85f8d462d38ed0d53c9f27b1b5b0f009aee603dd21

Observation 2f38809d-7c46-4c6b-ad58-e336ff6df665 · outbound

This paper cites an unresolved cited work.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-13T04:50:53.708802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:b133dfbf9f5a482428d8babfcc87672894da10b9bfe5330cf630c3b9e031bc6a

Observation 6aacfee7-3f31-4c4f-b225-d4b0f6d1a90c · outbound

This paper cites a”, “the.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention a”, “the

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.711084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:56c7f9dc412140a74ab4028dec54c3f0c2c375e870185885799260f171bee112

Observation ee49d42d-7205-4f7d-b3ac-0de009cc80b0 · outbound

This paper cites 21 Published as a conference paper at ICLR 2021 (a) (b) (c) Figure 5: Comparison on attention patterns of last layer between DeBERTa and its variants (i.e.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention 21 Published as a conference paper at ICLR 2021 (a) (b) (c) Figure 5: Comparison on attention patterns of last layer between DeBERTa and its variants (i.e

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T04:50:53.726586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:50:53.587891Z digest=sha256:def22724c8f983d2bc76c5e5efc512aa17641a352aad9497c5024df6cd416ce6

Pith citing papers

Observation 20bc2526-e3d9-455b-a0a1-015de03009b3 · inbound

RoFormer: Enhanced Transformer with Rotary Position Embedding cites this paper.

RoFormer: Enhanced Transformer with Rotary Position Embedding DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.733541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:37:06.610156Z digest=sha256:a48ddbcb24101ae0728c4a221c67210f2476ce0caa3f4eac351807b7a502031f

Observation 23321776-4543-4ebd-80b2-6329f45e3600 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.733541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T18:24:28.835688Z digest=sha256:dcaea4cb47651a4283830e174b556700e9a20ff3810734192001ada9ac71b976

Observation 560aaf69-397e-4a37-9c29-567103800a68 · inbound

Discovering Latent Knowledge in Language Models Without Supervision cites this paper.

Discovering Latent Knowledge in Language Models Without Supervision DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:34:08.302421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T20:34:08.207848Z digest=sha256:f5e88307416bbfa571bd067a448c52e0fd227ac4346beb0d4fa5f079b9dfd9a0

Observation 5627016a-0828-4ea5-a525-56daa0159154 · inbound

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation cites this paper.

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.733541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T18:00:05.294144Z digest=sha256:4408e83ea5b6b0a92fa5c29b5bee46854507bfc8eb35bf04fbc5e12049ba7700

Observation 52a8ab12-6c72-4c01-8e41-d2ec33b1d583 · inbound

Demystifying CLIP Data cites this paper.

Demystifying CLIP Data DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T09:20:20.284721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T09:20:20.143143Z digest=sha256:f59d95309f524bcd5f9da03438232584610284a717c63440eee0b97c6bc12739

Observation ac720906-53ad-4ebc-bb52-77896cb5a414 · inbound

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:34:15.964204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T22:34:15.638114Z digest=sha256:d3553bd2e6a32f6dc9514077b5262a3941455f3d225c45a53dc6f0c57e5473da

Observation 877a4f7b-a968-435c-b818-67356ba085f9 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:50:53.733541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:c82f0731a415a216f6d8129b0eba25e04f589ce25edd31547836b69341d51919

Observation 86605260-2fec-4f63-ad2b-83280f23c3db · inbound

PatentEdits: Framing Patent Novelty as Textual Entailment cites this paper.

PatentEdits: Framing Patent Novelty as Textual Entailment DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T16:26:24.656130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:26:24.656130Z digest=sha256:5ae33ec7f241ae1df3f9f142773437c6de5e72e577e4c31c185b21ba2b4d1b38

Observation bf08b68d-a08d-4fcd-821c-8899c4de516b · inbound

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search cites this paper.

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 11

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unresolved
no resolver link, observed 2026-08-12T15:01:18.948849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:01:18.948849Z digest=sha256:291f41f42e96817a01bd845fe2e02344bc712f38ea823bbf52e0e3e022579374

Observation b332e8ba-7089-407a-b6ae-40369272eb23 · inbound

Inducing Human-like Biases in Moral Reasoning Language Models cites this paper.

Inducing Human-like Biases in Moral Reasoning Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2021

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unresolved
no resolver link, observed 2026-08-12T14:24:50.774351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:24:50.774351Z digest=sha256:8d588dfd32c418009fd1de69ee8618dfcbea6dd4e378ccacd51be9ae42578ea6

Observation 41493034-0c3f-48ba-b3e1-46ce97aed0d3 · inbound

Development of Pre-Trained Transformer-based Models for the Nepali Language cites this paper.

Development of Pre-Trained Transformer-based Models for the Nepali Language DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T14:00:58.206761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:00:58.206761Z digest=sha256:c751507a5c11aa731895cb2206f2c9bc0a1b5cc28747f6b9c40bb9d91bcc27e4

Observation 09fe76da-f4e4-4059-8432-c263093fe682 · inbound

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models cites this paper.

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-12T12:45:19.916845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:45:19.916845Z digest=sha256:4eca1a6462aa1e80991c72e673b2cbc3933928850d21b20599d1388a5c0f88de

Observation d3d920ae-14c5-48c8-ba01-81a6b33d1b33 · inbound

TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching cites this paper.

TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T12:33:09.218193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:33:09.218193Z digest=sha256:5604df60618e5eb11cec379d288c195b45adee6e1320312505910c5c3f4076c5

Observation 6fbfe664-e14f-422c-97d2-0d0731c15faf · inbound

Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization cites this paper.

Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T11:44:18.206138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:44:18.206138Z digest=sha256:efce757a9556fb9c5c9d76d9795af359c85fb24ff64edfecd81fc2f55b699717

Observation ac8ebfc7-4986-4c44-90b2-59b843681f39 · inbound

Can bidirectional encoder become the ultimate winner for downstream applications of foundation models? cites this paper.

Can bidirectional encoder become the ultimate winner for downstream applications of foundation models? DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T11:38:41.994508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:38:41.994508Z digest=sha256:aba45e09401e1ebcd88cf420a1ab0998ed66543e58b1a01f9982d65e86dcbd9d

Observation 3cb69815-17aa-473b-ab51-4a6db4b3b1f4 · inbound

Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution cites this paper.

Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T05:36:06.833586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:36:06.833586Z digest=sha256:69e8f7cd4047c80b2a1a5a474ccded8bd80b9a19c9b455da7ce4fd81ee898249

Observation bea8e1da-5d59-4bde-9afa-b8172220c311 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 180

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unresolved
no resolver link, observed 2026-08-11T22:41:20.374748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:20.374748Z digest=sha256:8804cca40cb81216cffc25b74e9933d73f505899a03a377e10aa8dc841663f31

Observation b965496d-22ad-4352-889a-ebe36e518a34 · inbound

AntLM: Bridging Causal and Masked Language Models cites this paper.

AntLM: Bridging Causal and Masked Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T22:40:34.849646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:40:34.849646Z digest=sha256:e8aee3c0262dc19c2422d251a6e9dcb7b281e0f6816d945649e48efe12642f25

Observation 7614f109-96b5-454d-bbd7-cda4759f2281 · inbound

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T20:37:54.760094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:37:54.760094Z digest=sha256:d70091d5bfc9800ed9d9e5b57407ec9d048520a04209e3042c5a18a14b9c273f

Observation 3f0c1608-2516-4a16-b108-ce97c8a23667 · inbound

HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation cites this paper.

HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T16:26:04.408714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:26:04.408714Z digest=sha256:fd0e66b4164cac2d04331e5ff7dbcb7d8c9c763babb58f2e18c3659f4185e559

Observation f3d3366f-fdaf-4c5d-a12f-2d54b65d85f4 · inbound

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation cites this paper.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T16:12:05.896859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:12:05.896859Z digest=sha256:5995eaf2de80f5fe2dbc24c374acb1967c1090b4e74e8f433489307ea9c5830d

Observation 3a3d3316-69ef-487d-834a-05c6638109a9 · inbound

Rethinking Associative Memory Mechanism in Induction Head cites this paper.

Rethinking Associative Memory Mechanism in Induction Head DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 21

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unresolved
no resolver link, observed 2026-08-11T15:06:30.684936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:30.684936Z digest=sha256:f191f34639617772399be629844425f53112a83e79b2c75d8e5d759717df6c8b

Observation 50e8d085-660b-4816-bde4-50c884203832 · inbound

Recipient Profiling: Predicting Characteristics from Messages cites this paper.

Recipient Profiling: Predicting Characteristics from Messages DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 18

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unresolved
no resolver link, observed 2026-08-11T13:36:07.035296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:36:07.035296Z digest=sha256:7badf549a74e1f72ab3b384b862fdc9623e0508bf5855a7e7fe4b019f5a35663

Observation cb67b73b-05de-4dde-9ac3-990931ce7b34 · inbound

Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses cites this paper.

Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:12.780136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:12.780136Z digest=sha256:ce81f3543136149df1f6ae8a2f9326116a4d8c12fdfd9c3be2b02c8694be6b2a

Observation 9811f78e-a53e-4c97-9d76-e68986eb6f69 · inbound

Experimenting with Multi-modal Information to Predict Success of Indian IPOs cites this paper.

Experimenting with Multi-modal Information to Predict Success of Indian IPOs DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 18

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unresolved
no resolver link, observed 2026-08-11T20:23:12.728320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:23:12.728320Z digest=sha256:48404824d8e15ce27f5de1a0cf404a4d9ca4186f33257c73c39c2145f9b97787

Observation f30954d7-76f7-4b00-b6e6-93c44ad89042 · inbound

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models cites this paper.

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 16

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source=pdf_text observed=2026-08-11T00:37:46.439437Z digest=sha256:0bcd64a7f2a69a776a1749ad194fffb58d183e1042f95f617117f80f6cadaf06

Observation 2e810c02-7b54-4daa-9536-b5995912cbed · inbound

Enhancing Transformers for Generalizable First-Order Logical Entailment cites this paper.

Enhancing Transformers for Generalizable First-Order Logical Entailment DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 27

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source=arxiv_source observed=2026-08-10T22:48:53.503917Z digest=sha256:5291839cd797c572d280377d7dee0a80ae0e0636063c58bbe01a25cf7cfa6427

Observation a3ea3ef7-0bd9-4d39-929d-16274402daa6 · inbound

ICPC: In-context Prompt Compression with Faster Inference cites this paper.

ICPC: In-context Prompt Compression with Faster Inference DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 7

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source=pdf_text observed=2026-08-10T22:28:06.859112Z digest=sha256:a3e1d7a2260053183f1807270341065cb8b759965adb73d6ff520e9dd48c5a2f

Observation 67d31d31-fe16-4d7f-9b15-afaae4507a37 · inbound

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends cites this paper.

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 34

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no resolver link, observed 2026-08-10T22:17:27.615379Z

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source=arxiv_source observed=2026-08-10T22:17:27.615379Z digest=sha256:c635129989ec971c12ef49d2a52c2c694044bc38a45af1fb7bbd171e3207f276

Observation 1add7c90-be24-41f8-b322-dfa2a147ae12 · inbound

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks cites this paper.

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 22

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no resolver link, observed 2026-08-10T22:12:49.165370Z

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source=arxiv_source observed=2026-08-10T22:12:49.165370Z digest=sha256:af2ad82f9e8cd486a0cd8ea8c4e46f5c87d544b5a9c7193b819b6c97b1b6edfb

Observation 09d67d12-f0bd-41af-a3f0-3e10cd68d22e · inbound

Trust Modeling in Counseling Conversations: A Benchmark Study cites this paper.

Trust Modeling in Counseling Conversations: A Benchmark Study DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 18

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source=arxiv_source observed=2026-08-10T22:01:44.053505Z digest=sha256:fd5b34d8b51cfd898820c554842e86117f4a096d1dd5b6283d2b270909475bc4

Observation 84809db1-cf20-4191-ad4c-bddec741d540 · inbound

Visual question answering: from early developments to recent advances -- a survey cites this paper.

Visual question answering: from early developments to recent advances -- a survey DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 265

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no resolver link, observed 2026-08-10T21:46:29.313119Z

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source=arxiv_source observed=2026-08-10T21:46:29.313119Z digest=sha256:a1065d99ac374ddfe9c7da1368c2e0e260f71f8155b803b2c5ca4f80867980a9

Observation bb365a76-d792-4d1b-9d1a-1879910ed3d5 · inbound

Leveraging Log Probabilities in Language Models to Forecast Future Events cites this paper.

Leveraging Log Probabilities in Language Models to Forecast Future Events DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 5

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no resolver link, observed 2026-08-10T21:26:47.147465Z

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source=arxiv_source observed=2026-08-10T21:26:47.147465Z digest=sha256:e67b4b8bb06459ef38faad340ea89f0dc4b2cf36ab451e7ed88bf844fa307966

Observation 7abb53dc-9ca5-4a61-98b1-81813f6b9707 · inbound

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles cites this paper.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 10

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no resolver link, observed 2026-08-10T21:23:56.481579Z

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source=pdf_text observed=2026-08-10T21:23:56.481579Z digest=sha256:26bd07baee9f849b75dc617fd260ff7ccebf5d8691d2e9257297514a67899dad

Observation 016b116f-5674-4133-92f0-c5e366eafaee · inbound

A survey of textual cyber abuse detection using cutting-edge language models and large language models cites this paper.

A survey of textual cyber abuse detection using cutting-edge language models and large language models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 5004

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no resolver link, observed 2026-08-10T21:15:23.272106Z

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source=pdf_text observed=2026-08-10T21:15:23.272106Z digest=sha256:e642d33c5d749a91ab2ef774b7cf625a696b445d91a1678565f6d2a0e336d5e0

Observation 2dd2c197-1f98-4ef7-a6c1-3c43f9012ea8 · inbound

From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis cites this paper.

From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2020

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no resolver link, observed 2026-08-10T21:09:42.370172Z

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source=pdf_text observed=2026-08-10T21:09:42.370172Z digest=sha256:785543df0c1b3ea7fe17afe6d769349e41de86ec4d21c3690d9fa3b72f908556

Observation be888aa7-5ee0-4438-83c4-eda59be1c32d · inbound

MiniMax-01: Scaling Foundation Models with Lightning Attention cites this paper.

MiniMax-01: Scaling Foundation Models with Lightning Attention DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 35

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verified exact
local_arxiv, observed 2026-05-16T06:26:38.683079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T06:26:38.569394Z digest=sha256:651a888a46c1799806f2b05348bd8242b5efdf68a70829937d3d34a56e57b5ad

Observation 4224cc27-d37b-410c-a95b-853b1281c33a · inbound

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models cites this paper.

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 13

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no resolver link, observed 2026-08-10T19:42:22.758873Z

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source=arxiv_source observed=2026-08-10T19:42:22.758873Z digest=sha256:e347d03407b60ea2e678ffd9fa1410f6ba8c82bc5cbf9da01694ba2b6a54b9f4

Observation 6e2de7f6-551f-4427-b9d0-d7f619aad12f · inbound

Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding cites this paper.

Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 15

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source=arxiv_source observed=2026-08-10T18:53:21.171635Z digest=sha256:8570e1a829b3dee0848f6b1bd00340feb02003fd71f49a64d69dc3c0f0888adb

Observation 47afe64d-2ec5-4ea4-9262-dd0a00aa24dc · inbound

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral cites this paper.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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source=pdf_text observed=2026-08-10T16:24:02.211511Z digest=sha256:13962b2f0cd9b01429cc729ed61b6764d65989e96411f810c5647d528c6ed555

Observation f52e1a4f-8b4c-45db-8cbd-8307c47d792e · inbound

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models cites this paper.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 24

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no resolver link, observed 2026-08-10T16:17:32.004551Z

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source=arxiv_source observed=2026-08-10T16:17:32.004551Z digest=sha256:7f59a0005f2517f65ded8bc6ac0d19ffb47552c0e8b953d0b49e6ba29523abef

Observation 5da81942-4ec2-4746-a9d7-5015c67cc792 · inbound

Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification cites this paper.

Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 13

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no resolver link, observed 2026-08-10T14:28:46.583625Z

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source=pdf_text observed=2026-08-10T14:28:46.583625Z digest=sha256:24dd5e6836a29a138e6eaa9b7d7be3a5fe5bfe754320e904d5c92c95dd273adf

Observation 9c1f6abd-a84d-4fff-9964-94f34418b83a · inbound

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models cites this paper.

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 52

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no resolver link, observed 2026-08-10T14:25:18.664189Z

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source=pdf_text observed=2026-08-10T14:25:18.664189Z digest=sha256:ca5bfc35030ce7439f5c381b3a64c20ab65af07a7a91dedab307681e55f54f93

Observation 45e1cd72-ad08-46d7-ad6d-bdf5ce826827 · inbound

Cross-Language Approach for Quranic QA cites this paper.

Cross-Language Approach for Quranic QA DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 22

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no resolver link, observed 2026-08-10T04:47:26.965131Z

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source=pdf_text observed=2026-08-10T04:47:26.965131Z digest=sha256:0fa6d4b3b87de8235d5ca8dc7b36450805ef850ae6706ddd0d42ae37e308c1be

Observation 1f61227d-51f4-4436-b1c1-ec984a0c94e8 · inbound

Context-Aware Hierarchical Merging for Long Document Summarization cites this paper.

Context-Aware Hierarchical Merging for Long Document Summarization DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2023

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source=pdf_text observed=2026-08-09T17:07:30.650448Z digest=sha256:9d4025927e62906e2bf01010162745d8b421430f0d0c2d6745dcaae2bd30d5bb

Observation fa2675b9-2c3d-44bb-a6bd-fe8ea389cf22 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 157

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local_arxiv, observed 2026-05-17T02:11:37.297679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-17T02:11:36.932541Z digest=sha256:0d62e42e6a686bf20e43253b86276846d75fc6bb84c687e0e159f75f58015903

Observation 2159e95e-5c44-4528-9858-6a36149c963f · inbound

Mining Unstructured Medical Texts With Conformal Active Learning cites this paper.

Mining Unstructured Medical Texts With Conformal Active Learning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 4

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no resolver link, observed 2026-08-09T05:52:54.512521Z

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source=arxiv_source observed=2026-08-09T05:52:54.512521Z digest=sha256:b0fa6339e3ace153446745c38d1700b00de92db75e2b4c2e95ca73c22c4694e3

Observation 12f6c73a-93b7-4b6f-84a9-50152ed69620 · inbound

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model cites this paper.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 13

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source=arxiv_source observed=2026-08-08T20:54:10.546588Z digest=sha256:659692d8c800a05de94c21109ccbe73f0d24e26fd8b41679cd1c57d072a7ef1d

Observation 34c57d5c-3995-46f8-8042-4e02311df080 · inbound

Incivility in Public Health Policy Discussions Spills Over to Public Engagement with Climate Issues cites this paper.

Incivility in Public Health Policy Discussions Spills Over to Public Engagement with Climate Issues DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2

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source=pdf_text observed=2026-08-08T20:12:09.115223Z digest=sha256:adcfbdc8f34a0d0f889fbdc220d96baa08064332a561bab26e4fec6e1114f6cb

Observation 995a9ae2-2e2d-4f5b-8816-ed93d8dde357 · inbound

Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model cites this paper.

Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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source=pdf_text observed=2026-08-08T19:53:30.105209Z digest=sha256:9685cc516160771c257e9fc8a614712a2117098523a1eeb27001bab1cbcf381a

Observation 097bb78b-0d1f-4ea3-a70f-0b4bf87bb687 · inbound

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo cites this paper.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 21

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no resolver link, observed 2026-08-08T16:57:27.774979Z

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source=arxiv_source observed=2026-08-08T16:57:27.774979Z digest=sha256:567fe54c6112e918455632495c0d8180673c3b264225d24e6421191b7217313c

Observation 1d948662-9eb2-4e4e-9610-846b9efda4f0 · inbound

A Comprehensive Review of Protein Language Models cites this paper.

A Comprehensive Review of Protein Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 87

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no resolver link, observed 2026-08-08T18:43:34.317097Z

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source=pdf_text observed=2026-08-08T18:43:34.317097Z digest=sha256:310f480545b15b21a9d34d29f0fe448b9311404b2b11e4d9f347e2f0804d93aa

Observation 0295b3b2-cc79-4b6b-83ed-1a4b6384f390 · inbound

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation cites this paper.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 17

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source=arxiv_source observed=2026-08-08T13:54:57.954405Z digest=sha256:e7bd7a606e81383023c684e7ff78c1658d0581b7aeb006af85f805dc3aa68f51

Observation d29cb1b6-fc41-4b8a-a96d-d893d38958dc · inbound

Deep Semantic Graph Learning via LLM based Node Enhancement cites this paper.

Deep Semantic Graph Learning via LLM based Node Enhancement DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 4

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no resolver link, observed 2026-08-08T11:17:19.724213Z

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source=pdf_text observed=2026-08-08T11:17:19.724213Z digest=sha256:25392e95b52536523649d574b06c15f94bdbea9e8f81d2a19df0d63be5a4117c

Observation 23e5f5b2-b7b6-498e-82e1-d0127aea2f59 · inbound

Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification cites this paper.

Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 17

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source=pdf_text observed=2026-08-08T05:48:15.372324Z digest=sha256:7866e7b6776e534221dc28b05d9dfa184eaff586d2796349cc1c413b7143467a

Observation 86bc0f5e-30ae-41af-a970-28c37e7ca55f · inbound

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery cites this paper.

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 36

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verified exact
local_arxiv, observed 2026-05-23T02:35:19.208621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T02:34:58.555878Z digest=sha256:81c149f456b2d69463585caa2396c6ff3b2750a748aeca805142d6c07a03b710

Observation 6abbe7c7-d9c1-4acd-bb32-5c7e70d0b06d · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 37

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verified exact
local_arxiv, observed 2026-05-23T01:12:21.017772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:03aa732e6a981e842cb3123b4cb8dbe017999e9ff1cdda46abb8c42b0782742c

Observation d4509bac-2717-40b0-b1bc-fa19935bfc1c · inbound

Toward General and Robust LLM-enhanced Text-attributed Graph Learning cites this paper.

Toward General and Robust LLM-enhanced Text-attributed Graph Learning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 6

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metadata mismatch
local_arxiv, observed 2026-05-22T21:27:08.288135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T21:26:35.707533Z digest=sha256:cce0aacaba93a6f1297c1e4042f39afebda380c3a8541ffe3e9b2030485fc2b2

Observation 939a6910-bfb6-4513-9e36-58088ba7baba · inbound

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 16

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verified exact
local_arxiv, observed 2026-05-22T14:01:38.233567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T13:58:07.913104Z digest=sha256:5a4ea6063deb19baff955a2c738b8510abc8f0f65a923cdfcef28e8d97ee2f7a

Observation 14e2d092-5ddd-48b9-86b6-7ee05dc72463 · inbound

Directional Non-Commutative Monoidal Structures for Compositional Embeddings in Machine Learning cites this paper.

Directional Non-Commutative Monoidal Structures for Compositional Embeddings in Machine Learning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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no resolver link, observed 2026-08-07T15:23:33.742269Z

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source=pdf_text observed=2026-08-07T15:23:33.742269Z digest=sha256:13cebbb7fa5c7fe48e0977f50abc6dd724d3199acce011accf1d9f4d3c336688

Observation d09607da-e044-4ab4-9269-beea4dbcb0ec · inbound

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning cites this paper.

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2017

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source=pdf_text observed=2026-08-07T15:09:42.940547Z digest=sha256:40dc9ef1b238b8d42a6bc3c5f2806fcbaec37c1e62a0109f928a7edfb0dcc912

Observation d1c3d795-ab01-44e4-89d7-028df13f9543 · inbound

Recursive Offloading for LLM Serving in Multi-tier Networks cites this paper.

Recursive Offloading for LLM Serving in Multi-tier Networks DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 51

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no resolver link, observed 2026-08-07T15:03:50.529765Z

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source=pdf_text observed=2026-08-07T15:03:50.529765Z digest=sha256:14bb36d82664946747f02fa49a48d4fc7d4fb94e7624e59ec4ff598cb94d2a28

Observation e8aaf2c4-ea62-4bba-ac53-c2e8394940c8 · inbound

A Critical Evaluation of Defenses against Prompt Injection Attacks cites this paper.

A Critical Evaluation of Defenses against Prompt Injection Attacks DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 11

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source=pdf_text observed=2026-08-07T14:36:10.053958Z digest=sha256:72435a685b6b4862fbfd7f92a391054a02454586cc54e2497ace6ea6a26af9f2

Observation b8834c94-9199-485b-9a0a-00b0b974100f · inbound

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models cites this paper.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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source=arxiv_source observed=2026-08-07T13:33:55.005545Z digest=sha256:2681413213c88c7500695aaa87240e0ec8ff30c9e224b862ec57ad9c9d25a2bc

Observation db5cd67f-ed07-40c2-88d6-2eab4292569a · inbound

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion cites this paper.

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 32

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source=pdf_text observed=2026-08-07T13:23:44.299844Z digest=sha256:e757a80efd1eea2b9e757cf8d4f6a03e90d655c427ee49bfc6b9fa6a9ddfec59

Observation 3c00f4c8-5cac-4c6a-ae10-78d10904385b · inbound

Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems cites this paper.

Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 14

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source=arxiv_source observed=2026-08-07T13:04:14.575387Z digest=sha256:eda7f61913b217fd5127a1e42aaa54925c4a4217a7167a9f7f3b87c972eea577

Observation 03ab83e5-d6f4-46ed-ba01-f4f5dcaf8214 · inbound

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor cites this paper.

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 61

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source=pdf_text observed=2026-08-07T13:04:16.419765Z digest=sha256:79738e2d04d347a1d5777e50944f65dbdfcb483b4c0629cc5ecad426c3c01494

Observation 1300556b-741f-4e25-925b-95d797f93064 · inbound

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations cites this paper.

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 17

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no resolver link, observed 2026-08-07T12:59:24.519504Z

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source=pdf_text observed=2026-08-07T12:59:24.519504Z digest=sha256:930ac036bd16cfab66b94e3ba8e98b53f66de804af572a769d8d0fc3b145e6ee

Observation 97b80e08-d2b2-432b-a705-236b80236ea7 · inbound

CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification cites this paper.

CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 8

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source=arxiv_source observed=2026-08-07T12:47:01.632603Z digest=sha256:225fcef940a3dd7967cd88f056238726d48af1b9a034a5d05eb08746bc1656fc

Observation 907025fd-d254-49e8-85a4-844273ccbdb8 · inbound

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection cites this paper.

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 21

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no resolver link, observed 2026-08-07T13:59:15.397940Z

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source=pdf_text observed=2026-08-07T13:59:15.397940Z digest=sha256:123e6ff261aa755d26cf4c8dac16408120848c09a801dc5bf44332ba50047ae5

Observation 447ff191-ed4b-4614-93fa-1342e5f7ca96 · inbound

Directional Non-Commutative Monoidal Structures with Interchange Law via Commutative Generators cites this paper.

Directional Non-Commutative Monoidal Structures with Interchange Law via Commutative Generators DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 6

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no resolver link, observed 2026-08-07T12:28:25.517720Z

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source=pdf_text observed=2026-08-07T12:28:25.517720Z digest=sha256:88fd156ec670480ae1a70a9cb75b7a16a726fc8cc4af48a8f0cdd4e160e3f41b

Observation 664072d4-b6a8-4cd1-a6d5-9c72d0645ea2 · inbound

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity cites this paper.

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2020

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no resolver link, observed 2026-08-07T12:14:01.502501Z

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source=pdf_text observed=2026-08-07T12:14:01.502501Z digest=sha256:e83da512e0a79119f00d96c648c8644f1170ba198545a75000e4142c3df6f706

Observation 42fa8336-9e3d-4d00-8d3a-754547e88cb6 · inbound

Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs cites this paper.

Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 10

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no resolver link, observed 2026-08-07T12:12:28.852364Z

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source=arxiv_source observed=2026-08-07T12:12:28.852364Z digest=sha256:832b1208d6e11385e048f80a17066c1ceed30a7d408ee1ce2642433cd7b17fa3

Observation a16845a0-ea56-4abc-96be-2f08a9f78a81 · inbound

Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection cites this paper.

Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 15

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no resolver link, observed 2026-08-07T06:01:40.133714Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T06:01:40.133714Z digest=sha256:b22552e28ef9aaf73b4079a6929f8d2d85f93056bffc578e24c078390843709c

Observation 878cfebf-5f4a-420c-972f-1578cfde4f34 · inbound

"I wasn't sure if this is indeed a security risk": Data-driven Understanding of Security Issue Reporting in GitHub Repositories of Open Source npm Packages cites this paper.

"I wasn't sure if this is indeed a security risk": Data-driven Understanding of Security Issue Reporting in GitHub Repositories of Open Source npm Packages DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 64

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source=pdf_text observed=2026-08-07T05:33:48.367840Z digest=sha256:0f70ca2dbfa977abbee61227bf044cf890e678f816e455c7df587db404071e80

Observation ea0e7c52-e9cc-4e03-9635-19dc93f6bebd · inbound

Multimodal Representation Alignment for Cross-modal Information Retrieval cites this paper.

Multimodal Representation Alignment for Cross-modal Information Retrieval DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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source=pdf_text observed=2026-08-07T05:08:30.382213Z digest=sha256:b41c88beeb263b64d5e367b6f1b21b0413459d28c291648494d5a8c1b8c52478

Observation 971047b2-6ec5-4a9c-bd29-1a94300b605d · inbound

PlantDeBERTa: An Open Source Language Model for Plant Science cites this paper.

PlantDeBERTa: An Open Source Language Model for Plant Science DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 6

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source=pdf_text observed=2026-08-07T05:03:05.886203Z digest=sha256:96afbf23d915b95f4c79909d1e9c97cd98d7f5e9aa871d48422b96cb3d9b4d17

Observation c3ca5301-2edb-495a-8560-43cc0edb9e08 · inbound

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems cites this paper.

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 20

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no resolver link, observed 2026-08-07T00:48:32.404688Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:32.404688Z digest=sha256:d20f7c461312f4a231eb5635d4ad1ed748b7d467bfd0257c27a349addf109de1

Observation 30ca3ff0-b1d9-4329-933d-c83764011fbb · inbound

Bayesian Optimization over Bounded Domains with the Beta Product Kernel cites this paper.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 18

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no resolver link, observed 2026-08-06T23:57:09.015903Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:57:09.015903Z digest=sha256:477ce49e425cd9e6661eb9b204e95aeb433a14a669b5976837072ae5eec46030

Observation 9fd8db11-7c57-4f99-b177-d96c9eaca4d9 · inbound

Capturing Fine-Grained Alignments Improves 3D Affordance Detection cites this paper.

Capturing Fine-Grained Alignments Improves 3D Affordance Detection DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 39

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source=pdf_text observed=2026-08-06T23:12:35.825141Z digest=sha256:28247b1b7d64b37ac889ba7af20eef5fa4b8a3d79c2300221584102736eee923

Observation de8e3e30-c0c6-491e-b1c0-7421c9ee5407 · inbound

Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes cites this paper.

Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 15

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no resolver link, observed 2026-08-06T22:46:32.370313Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T22:46:32.370313Z digest=sha256:5d4ce5d88f693ecbf87507283831a13179b761a7a52f7cc94b0941414b0c9612

Observation 5a2ca701-2b9b-4b81-b3e4-abec734aa4bc · inbound

Reinforcement learning fine-tuning of language model for instruction following and math reasoning cites this paper.

Reinforcement learning fine-tuning of language model for instruction following and math reasoning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2020

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no resolver link, observed 2026-08-07T04:37:29.907111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:29.907111Z digest=sha256:fcf0ba3e300f61ca36a035609eaa418fa1a01a57be3f5f93f53503c46b0b172c

Observation 48c925fc-a887-4e0d-b6f4-0564cbefb1e7 · inbound

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining cites this paper.

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 17

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no resolver link, observed 2026-08-07T04:51:45.199813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:51:45.199813Z digest=sha256:4de2e49e895fe9c7b78f432f792e9e0ce4c04e42f2c3e21184834a33ba31a9ac

Observation f0103ed7-d55a-4672-90ba-7c33e4e5d8e7 · inbound

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute cites this paper.

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:05:27.383439Z digest=sha256:7dbee5f7f02a1f3af9e2cf85f3e30efb33e3ae627cb201cc1b1271129cdae9db

Observation e2891f21-efa8-42c8-9b33-8095921fd4f2 · inbound

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment cites this paper.

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 7

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no resolver link, observed 2026-08-06T17:24:37.253151Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:37.253151Z digest=sha256:3f26abe18faf809ddb88238349a037324d37de1f2e475bb7d9999fea83efb4c4

Observation 399ff1be-0778-4f97-8c59-d3e0d3f93373 · inbound

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media cites this paper.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 23

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no resolver link, observed 2026-08-06T17:44:08.049023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:44:08.049023Z digest=sha256:323b53959ab410977c8f89c83c2990a1f105e0cfc7306bf9dc1f92a36cf81cf0

Observation e3f3bfe5-dfe2-4a85-8500-a9156eba3f1c · inbound

Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation cites this paper.

Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 10

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no resolver link, observed 2026-08-06T17:11:31.842872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:31.842872Z digest=sha256:1347194464164c0d0f6a45ec06e48cf7ca24a39a60ef892dd462e92d91d9eee5

Observation 0b2567c3-a05e-4e1d-a3c6-fcc36739036a · inbound

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs cites this paper.

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 8

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no resolver link, observed 2026-08-06T15:56:02.600887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:56:02.600887Z digest=sha256:2dcb32ec37c82e73b710b43aaf7f2f390c67ea7cb524e7ee5d01a70affec96cb

Observation b1b1368b-749f-42df-95d1-3e860f4c49f5 · inbound

Evaluation of Coding Schemes for Transformer-based Gene Sequence Modeling cites this paper.

Evaluation of Coding Schemes for Transformer-based Gene Sequence Modeling DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2019

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no resolver link, observed 2026-08-06T15:47:06.195190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:06.195190Z digest=sha256:a464d1e6765b21dd4563515a9ce0ec3eff2237eca7fd1d6d488483d14f656c21

Observation b6e0cd1f-bf94-48dc-b1f2-889367d11953 · inbound

GovRelBench:A Benchmark for Government Domain Relevance cites this paper.

GovRelBench:A Benchmark for Government Domain Relevance DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 6

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no resolver link, observed 2026-08-06T12:53:46.489621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:46.489621Z digest=sha256:cbb19949675790265e6bafa18465991a90ee91d710cffc9534445a071a0cd8f5

Observation acdfdc17-1f13-491d-b4b2-0075241200d1 · inbound

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning cites this paper.

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 2024

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no resolver link, observed 2026-08-05T23:59:35.964417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:59:35.964417Z digest=sha256:e9f5b8db71f76720a3d96e5bd38fb2d7d0c397a757b1f7e925af57fa1212a925

Observation df04ea46-9f13-4704-a814-a33282c8e40c · inbound

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges cites this paper.

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 130

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no resolver link, observed 2026-08-05T21:03:14.940721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:03:14.940721Z digest=sha256:c97d39f813cdda6e968613b8f372bd87d69fad16d7b5355da2b0acaaabc6e365

Observation 08221a33-d5c7-470e-80b3-934e3da6d55b · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 20

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no resolver link, observed 2026-08-05T20:25:11.900673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:25:11.900673Z digest=sha256:6a9638d51de4f5515592e60bc3f091d082886ffabed58af5f0f0c927067a70de

Observation 1a4f93aa-bb0e-4d93-8bb3-5f107a8a324c · inbound

TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings cites this paper.

TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 70

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verified exact
local_arxiv, observed 2026-05-18T21:51:51.625492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T21:50:56.743486Z digest=sha256:5931385f8e1fff2014212f1e0d13b50077a108cb4a12011d2d4011314fb159e2

Observation 1d9ca688-7df8-424a-a827-7bf2d24e15e1 · inbound

S2Sent: Nested Selectivity Aware Sentence Representation Learning cites this paper.

S2Sent: Nested Selectivity Aware Sentence Representation Learning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 14

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no resolver link, observed 2026-08-05T16:38:46.242749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:38:46.242749Z digest=sha256:e89f85207bbc17531c640d5633b0fdd579adde903f0c3b90646b5efa2eeb765d

Observation 69ab50d1-311a-4645-9992-9f6b2ec637cc · inbound

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset cites this paper.

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 42

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no resolver link, observed 2026-08-05T15:49:40.077392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:49:40.077392Z digest=sha256:faffaaa1711487492abf001c5b965468f6bd13f083bff86e7f1b6ee6de31aaa7

Observation 913c0147-4360-42d8-8a98-eed851824c1c · inbound

Automated Bug Triaging using Instruction-Tuned Large Language Models cites this paper.

Automated Bug Triaging using Instruction-Tuned Large Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 24

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unresolved
no resolver link, observed 2026-08-05T14:38:15.915245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:38:15.915245Z digest=sha256:a7443c8a2fcc5756ead4eb7efc48fe1c6fc23794a197d7d18dc65d1f3779d3b2

Observation 0bd9258e-dabc-4189-a7c9-4202b94577c5 · inbound

AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum cites this paper.

AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 15

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unresolved
no resolver link, observed 2026-08-05T16:06:48.854403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:06:48.854403Z digest=sha256:fae16e33d44eb0ba60b8e84693daae0a529b82dadd7de2718558bc8d9471208b

Observation 6c18cd28-9fd7-4d3a-9815-241de4385c29 · inbound

CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QA cites this paper.

CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QA DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 9

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unresolved
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TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoring cites this paper.

TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoring DeBERTa: Decoding-enhanced BERT with Disentangled Attention

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