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Paper Citation Record · LEDGER

Multitask Prompted Training Enables Zero-Shot Task Generalization

As of 3 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 66 inbound Pith citation observations for arXiv:2110.08207.

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

pith.paper-citation-record.v1
2110.08207 v3

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 141 of 141 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 66 of 66 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:38:12.869429Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact23
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier8
  • metadata mismatch23

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8001dad5-6625-49da-bf93-8e61b777437e · outbound

This paper cites Cloze-driven Pretraining of Self-attention Networks.

Multitask Prompted Training Enables Zero-Shot Task Generalization Cloze-driven Pretraining of Self-attention Networks

Reference 1

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Source-reported events for the cited work

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Observation 441b7345-f1e7-4cf6-8af3-d7d9303a4307 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Multitask Prompted Training Enables Zero-Shot Task Generalization Lost in the Middle: How Language Models Use Long Contexts

Reference 2

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 19446860-b908-4f18-acf5-fdafad826daa · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

Multitask Prompted Training Enables Zero-Shot Task Generalization Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 3

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Observation 2b08c669-df44-422b-9d04-0c1bf927d6e8 · outbound

This paper cites Semantic parsing on Freebase from question-answer pairs.

Multitask Prompted Training Enables Zero-Shot Task Generalization Semantic parsing on Freebase from question-answer pairs

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 448875a9-1fed-41fc-95ea-00ac76b64c54 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Multitask Prompted Training Enables Zero-Shot Task Generalization On the Opportunities and Risks of Foundation Models

Reference 6

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation ac42cab3-740e-482a-95a5-2c6e1edc26a9 · outbound

This paper cites Rich Caruana.

Multitask Prompted Training Enables Zero-Shot Task Generalization Rich Caruana

Reference 7

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 741c81ca-46d5-4471-bfaa-a4d8efb6f001 · outbound

This paper cites Cluster Computing 6(3), 215–226 (Jul 2003), https://doi.org/10.1023/A: 1023588520138.

Multitask Prompted Training Enables Zero-Shot Task Generalization Cluster Computing 6(3), 215–226 (Jul 2003), https://doi.org/10.1023/A: 1023588520138

Reference 8

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Observation 5dd19367-f6ef-4857-9b52-eeb80ea669e0 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Multitask Prompted Training Enables Zero-Shot Task Generalization BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 9

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Observation 7225df1d-d929-4d73-be82-b38e3006f1f6 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Multitask Prompted Training Enables Zero-Shot Task Generalization BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 10

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local_arxiv, observed 2026-05-14T17:59:43.034903Z

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Observation 50a9cfea-e627-485f-9e5b-8f45e231add6 · outbound

This paper cites A unified architecture for natural language processing: deep neural networks with multitask learning.

Multitask Prompted Training Enables Zero-Shot Task Generalization A unified architecture for natural language processing: deep neural networks with multitask learning

Reference 11

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Observation bea81e2a-c6a4-4f9b-b10d-3535b265c373 · outbound

This paper cites & Weston, J.

Multitask Prompted Training Enables Zero-Shot Task Generalization & Weston, J

Reference 12

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Observation 5e3658c5-c3a0-4367-abd6-4cd797150e7a · outbound

This paper cites Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning.

Multitask Prompted Training Enables Zero-Shot Task Generalization Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Reference 13

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arxiv_id, observed 2026-05-14T17:59:43.042097Z

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Observation 8a60b854-55ca-4b31-bdb9-50636a28fe4d · outbound

This paper cites doi: 10.18653/v1/W18-5102.

Multitask Prompted Training Enables Zero-Shot Task Generalization doi: 10.18653/v1/W18-5102

Reference 14

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Observation 521348d4-34a3-4faa-870e-15df3cc691d3 · outbound

This paper cites A framework for few-shot language model evaluation, September 2021.

Multitask Prompted Training Enables Zero-Shot Task Generalization A framework for few-shot language model evaluation, September 2021

Reference 15

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Observation 5e4ad6a6-3181-4a8a-9ac2-55b49bf80731 · outbound

This paper cites SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization.

Multitask Prompted Training Enables Zero-Shot Task Generalization SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Reference 16

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Observation 66135f66-8754-4642-a006-ef26055e4e3c · outbound

This paper cites Twitter sentiment classification using distant supervision.

Multitask Prompted Training Enables Zero-Shot Task Generalization Twitter sentiment classification using distant supervision

Reference 17

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 5802a389-61cf-475d-b214-f7bd634a3415 · outbound

This paper cites A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.

Multitask Prompted Training Enables Zero-Shot Task Generalization A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Reference 18

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local_arxiv, observed 2026-05-14T17:59:43.058820Z

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Observation 156526f9-afdf-47ed-b0da-c20fb4070029 · outbound

This paper cites Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.

Multitask Prompted Training Enables Zero-Shot Task Generalization Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Reference 19

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Observation 8271ee68-b741-49d3-843b-a85b2d006176 · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Multitask Prompted Training Enables Zero-Shot Task Generalization Crowdsourcing Multiple Choice Science Questions

Reference 20

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation c68094a2-045b-4c44-89dc-ab58ff84b934 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Multitask Prompted Training Enables Zero-Shot Task Generalization TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 21

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Observation 0bb2823e-19d6-4f76-a01e-2b8aef08bb89 · outbound

This paper cites Ellie Pavlick and Tom Kwiatkowski.

Multitask Prompted Training Enables Zero-Shot Task Generalization Ellie Pavlick and Tom Kwiatkowski

Reference 22

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Observation 2da0d944-05bf-4da8-890f-6cc53f1659cc · outbound

This paper cites What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.

Multitask Prompted Training Enables Zero-Shot Task Generalization What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 23

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Observation 7aeffa40-e251-465b-8e02-76bc265ac95c · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Multitask Prompted Training Enables Zero-Shot Task Generalization Quantifying the Carbon Emissions of Machine Learning

Reference 24

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arxiv_id, observed 2026-05-15T05:52:44.534862Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 21b8ea40-bec1-424d-951a-d6182a4762aa · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

Multitask Prompted Training Enables Zero-Shot Task Generalization RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 25

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local_arxiv, observed 2026-05-14T17:59:43.108535Z

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Observation aadeebbf-fd51-4215-bb7c-a43fcd1e6209 · outbound

This paper cites Neural Text Generation from Structured Data with Application to the Biography Domain.

Multitask Prompted Training Enables Zero-Shot Task Generalization Neural Text Generation from Structured Data with Application to the Biography Domain

Reference 26

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation a8597213-37d5-4c47-a8f7-9138fd797502 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

Multitask Prompted Training Enables Zero-Shot Task Generalization Deduplicating Training Data Makes Language Models Better

Reference 27

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 90cfb414-bb2c-4124-bd9f-ed08681d5711 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Multitask Prompted Training Enables Zero-Shot Task Generalization The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 29

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local_arxiv, observed 2026-05-14T17:59:43.009052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation b0eabaef-0529-4fa7-8f76-449596b573d4 · outbound

This paper cites Learning question classifiers.

Multitask Prompted Training Enables Zero-Shot Task Generalization Learning question classifiers

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 504f32b5-981b-449e-8820-8519a85287a2 · outbound

This paper cites Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, and Xiang Ren.

Multitask Prompted Training Enables Zero-Shot Task Generalization Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, and Xiang Ren

Reference 31

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raw_fallback, observed 2026-05-14T17:59:43.343650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation d9f91aac-c1db-47e6-b651-bc5045446c63 · outbound

This paper cites doi: 10.18653/ v1/2020.findings-emnlp.165.

Multitask Prompted Training Enables Zero-Shot Task Generalization doi: 10.18653/ v1/2020.findings-emnlp.165

Reference 32

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raw_fallback, observed 2026-05-14T17:59:43.299714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 985df5e7-273c-443d-be1d-934b1b081b27 · outbound

This paper cites Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models.

Multitask Prompted Training Enables Zero-Shot Task Generalization Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models

Reference 33

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arxiv_id, observed 2026-05-14T17:59:43.129148Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 193389c7-1c21-4930-a220-965e07cdbf5a · outbound

This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.

Multitask Prompted Training Enables Zero-Shot Task Generalization The Natural Language Decathlon: Multitask Learning as Question Answering

Reference 35

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local_arxiv, observed 2026-05-14T17:59:43.136144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation efd83d1c-074d-404e-8869-de2028bcb8e2 · outbound

This paper cites Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference.

Multitask Prompted Training Enables Zero-Shot Task Generalization Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Reference 36

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local_arxiv, observed 2026-05-14T17:59:43.142500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 6ec9a24d-23ec-403e-a0d1-46657d834892 · outbound

This paper cites Cross-Task Generalization via Natural Language Crowdsourcing Instructions.

Multitask Prompted Training Enables Zero-Shot Task Generalization Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 38

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arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:b162d12b0ab1507809db327e5fa9e3a96e075fcf2242c03e96ceb56ab4e630d3

Observation 28f48f32-ecda-4e6e-920e-7c1392668bae · outbound

This paper cites Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.

Multitask Prompted Training Enables Zero-Shot Task Generalization Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Reference 39

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local_arxiv, observed 2026-05-14T17:59:43.158427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:6194d61eea075d4296e37f3039e36c3d4a2c4eaa58eea695f012e03d0aeb74ba

Observation 18f80c19-8194-421d-ac81-79147e281ffa · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Multitask Prompted Training Enables Zero-Shot Task Generalization Carbon Emissions and Large Neural Network Training

Reference 40

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local_arxiv, observed 2026-05-14T17:59:43.166302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:dd2f15fe1127de57ef09deb7b17e2cf1a02d0fa39fedd3e271fb1df1bb23b761

Observation 176ea74c-d3f3-4fb8-b982-82ce5cbb0144 · outbound

This paper cites True Few-Shot Learning with Language Models.

Multitask Prompted Training Enables Zero-Shot Task Generalization True Few-Shot Learning with Language Models

Reference 42

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arxiv_id, observed 2026-05-14T17:59:43.174482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:3f4152662414010e60c1c10e6acbf66ebb5a0c1e5b8bfa6e17e899751790fb8a

Observation 101ec6c5-e547-4cd5-8443-4198d96633c7 · outbound

This paper cites an unresolved cited work.

Multitask Prompted Training Enables Zero-Shot Task Generalization Unresolved cited work

Reference 43

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unresolved
raw_fallback, observed 2026-05-14T17:59:43.338923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:cdb9d1b118290fbba403d1a1627a0dcba5b0280430b5f014b43970605d8c9d8a

Observation a367f87f-6223-4dc2-ab15-add1942c5c3f · outbound

This paper cites doi: 10.18653/v1/D18-1007.

Multitask Prompted Training Enables Zero-Shot Task Generalization doi: 10.18653/v1/D18-1007

Reference 44

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doi, observed 2026-05-14T17:59:43.001116Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:18f46efd58d4c89e2d5ffca309b79755b3403645e3e8a219d00c1325ec8517e3

Observation 207a5664-b0aa-4efc-9cd2-fdcc37821e94 · outbound

This paper cites doi: 10.18653/v1/2020.acl-main.467.

Multitask Prompted Training Enables Zero-Shot Task Generalization doi: 10.18653/v1/2020.acl-main.467

Reference 45

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:7c2eb31b63353886d7913514c2da3c436d9888a22117c0752460b6fc23f25645

Observation 7a776009-fb7c-461c-81b4-131bac4ea49d · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Multitask Prompted Training Enables Zero-Shot Task Generalization SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 46

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local_arxiv, observed 2026-05-14T17:59:43.181094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:329899f7366008ae1c5fe519f5a48b9467f9ceaa562f612ed712bb639b5b1b25

Observation c635f27d-b4ca-48ba-994f-9ac455344d51 · outbound

This paper cites Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.

Multitask Prompted Training Enables Zero-Shot Task Generalization Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 48

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arxiv_id, observed 2026-05-14T17:59:43.189084Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:67a3c24fdb3da13f683e6194b42d51069986f114ed82dd29f2bef17760dd28b5

Observation 3b0f4b4c-3c06-46e8-9442-f3c77734406b · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , year =.

Multitask Prompted Training Enables Zero-Shot Task Generalization Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , year =

Reference 49

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doi, observed 2026-05-14T17:59:42.846641Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:d62b168c51bfd8e1b754998d531d7baeae2514e683377a5ac22fead908e5b9dd

Observation 1ae66f8c-e31c-4894-9bc9-277137634c85 · outbound

This paper cites Getting closer to AI com- plete question answering: A set of prerequisite real tasks.

Multitask Prompted Training Enables Zero-Shot Task Generalization Getting closer to AI com- plete question answering: A set of prerequisite real tasks

Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:dfec560977fd88428d64a09a9f36900fbe2ea8c340d9cdcef98407a698302be4

Observation b85913f6-a2e8-45b4-bc4d-505ecac52f52 · outbound

This paper cites Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme.

Multitask Prompted Training Enables Zero-Shot Task Generalization Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme

Reference 51

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raw_fallback, observed 2026-05-14T17:59:43.375622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:6030114636bbd6ff00b35e9f4a192612ca4a421cc39a6f680760ddc5195b833a

Observation 08d82409-c12f-48e0-910b-a8b4a10d2f4a · outbound

This paper cites Alexander M.

Multitask Prompted Training Enables Zero-Shot Task Generalization Alexander M

Reference 52

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raw_fallback, observed 2026-05-14T17:59:43.379855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:1d80c8608478d0af893accc1385278c4d51f6a6b4ff3425c81e1113b9877e0eb

Observation 719522ed-2b97-47a1-802a-dc08c76aed2f · outbound

This paper cites and Chopra, Sumit and Weston, Jason.

Multitask Prompted Training Enables Zero-Shot Task Generalization and Chopra, Sumit and Weston, Jason

Reference 53

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doi, observed 2026-05-14T17:59:42.893599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:b315c0564deffb026e31c8d3ee5b80034fd328c848046136d396b13cdc3f2925

Observation addda40b-e635-405a-b6fa-da1bd529fb9c · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Multitask Prompted Training Enables Zero-Shot Task Generalization WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 55

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local_arxiv, observed 2026-05-14T17:59:43.196928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:6901fca435b9de7f1732bafbec45f328f51931fcb88d16702206d68cae87c53f

Observation 4ef3d6ac-d863-491e-a5f8-05e4afcb41bf · outbound

This paper cites URL https://aclanthology.org/2021.eacl-main.20.

Multitask Prompted Training Enables Zero-Shot Task Generalization URL https://aclanthology.org/2021.eacl-main.20

Reference 56

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raw_fallback, observed 2026-05-14T17:59:43.393606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:2b0f608c4df694e3573e14da86a6ef9db24c630fd7fa6f090428aefe1a092d03

Observation 3db00728-0c62-4ed2-b405-a2cef432c5ae · outbound

This paper cites Get To The Point: Summarization with Pointer-Generator Networks.

Multitask Prompted Training Enables Zero-Shot Task Generalization Get To The Point: Summarization with Pointer-Generator Networks

Reference 58

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local_arxiv, observed 2026-05-14T17:59:43.203909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:452cdc94443db0d271d39c35ab0b09ff297aebb895bff34ed6ca422688bbceff

Observation c6ae963a-556a-441c-8ca2-7992ecadd1f7 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

Multitask Prompted Training Enables Zero-Shot Task Generalization Release Strategies and the Social Impacts of Language Models

Reference 60

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arxiv_id, observed 2026-05-16T16:17:32.011804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:a6494c5a1ef52f7e4d6b7d2d6e5892c690145f47e0c1b1076946cd7189563b97

Observation bfed5d3d-d3a9-4db5-8dde-2fc5a88d79b7 · outbound

This paper cites DREAM: A challenge dataset and models for dialogue-based reading comprehension.

Multitask Prompted Training Enables Zero-Shot Task Generalization DREAM: A challenge dataset and models for dialogue-based reading comprehension

Reference 61

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raw_fallback, observed 2026-05-14T17:59:43.281015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:201e85e00e09ac3c818b0eeb46854d728bdc28fe415d06223344fca761c52cef

Observation f5374e3f-bc17-414e-a79e-40f593858ac6 · outbound

This paper cites DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension.

Multitask Prompted Training Enables Zero-Shot Task Generalization DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

Reference 62

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local_arxiv, observed 2026-05-14T17:59:43.217682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:77adefa2c6a722d4dfec54c646a066035b159a05db38ea066be434e2f7505738

Observation 5812561a-45d7-4a6d-a654-2178388026a7 · outbound

This paper cites QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships.

Multitask Prompted Training Enables Zero-Shot Task Generalization QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships

Reference 63

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local_arxiv, observed 2026-05-14T17:59:43.224021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:0c8b1c25eef7d0ff5aab63c84a8408648548323d82313cbc28c43ac89fcea183

Observation 294d1d29-e470-4191-ae20-7b362ec65f64 · outbound

This paper cites doi: 10.18653/v1/2020.emnlp-main.635.

Multitask Prompted Training Enables Zero-Shot Task Generalization doi: 10.18653/v1/2020.emnlp-main.635

Reference 64

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doi, observed 2026-05-14T17:59:42.855671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:3ab981032bcc159789eabc80fd40a31e5489030456b521ce7c2fd28f732ecbc7

Observation b03c5d83-f752-49c0-b1ee-20dbaca29c51 · outbound

This paper cites Entailment as Few-Shot Learner.

Multitask Prompted Training Enables Zero-Shot Task Generalization Entailment as Few-Shot Learner

Reference 65

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arxiv_id, observed 2026-05-14T17:59:43.232047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:08ca0bd9b343d59dd96dce0263611341b6c1a76c99832d7624e9c4eb90c8191a

Observation d2cbba3d-fe0e-45bf-9f88-23400e86a71f · outbound

This paper cites Do Prompt-Based Models Really Understand the Meaning of their Prompts?.

Multitask Prompted Training Enables Zero-Shot Task Generalization Do Prompt-Based Models Really Understand the Meaning of their Prompts?

Reference 66

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metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.239507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:70b0cba0b4f15d656fb74eab2f5b597dc464c0623a5502568f3abc85136f12dc

Observation b2bb7b29-d120-46ca-8b6b-4059043ddd53 · outbound

This paper cites ANLIzing the Adversarial Natural Language Inference Dataset.

Multitask Prompted Training Enables Zero-Shot Task Generalization ANLIzing the Adversarial Natural Language Inference Dataset

Reference 67

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arxiv_id, observed 2026-05-14T17:59:43.245735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:75ac80301cded576f714471a75cc679e31768c4f6c5fe00f34ed131adf6b1904

Observation 543a7693-0fd2-4b2d-97d5-b42bd239ed4d · outbound

This paper cites CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP.

Multitask Prompted Training Enables Zero-Shot Task Generalization CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Reference 68

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metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.252809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:aab9c20354cf6fc6d644a3aaa2a0208adbead01c4e1dd0bb479d2702156c9786

Observation 6eaad683-566e-4b52-a3e7-f2c0c489b668 · outbound

This paper cites an unresolved cited work.

Multitask Prompted Training Enables Zero-Shot Task Generalization Unresolved cited work

Reference 69

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unresolved
raw_fallback, observed 2026-05-14T17:59:43.325088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:ee27397653f1510093a1a452b5744cf77e069718aefe51ea449831645f7df97f

Observation dca9bdcc-500b-484d-af7c-4d8f8e257816 · outbound

This paper cites doi:10.18653/v1/D15-1237 , pages =.

Multitask Prompted Training Enables Zero-Shot Task Generalization doi:10.18653/v1/D15-1237 , pages =

Reference 70

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metadata mismatch
doi, observed 2026-05-14T17:59:42.970920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:6e65d19bb14d2359fd822bb5aaaafc642392bbc329aa6213169fe04e312e5fad

Observation d899f53b-94a5-4c38-a86b-0b7771f902d3 · outbound

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

Multitask Prompted Training Enables Zero-Shot Task Generalization ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Reference 71

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local_arxiv, observed 2026-05-14T17:59:43.258810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:73a390ec6707363d3d25349eb8dfbfbd0cdfaa82348994c240866de18b0d3e64

Observation e4aee922-0c27-4b1f-b83d-63385d56f769 · outbound

This paper cites Character-level convolutional networks for text classi- fication.

Multitask Prompted Training Enables Zero-Shot Task Generalization Character-level convolutional networks for text classi- fication

Reference 72

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raw_fallback, observed 2026-05-14T17:59:43.354040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:a0ebb07623bf783984bff302004070f9b879baf752580329ef1b7d6cffa53ea9

Observation 9691b433-83f5-471b-943c-c223e07c5558 · outbound

This paper cites Gender bias in coreference resolution: Evaluation and debiasing methods.

Multitask Prompted Training Enables Zero-Shot Task Generalization Gender bias in coreference resolution: Evaluation and debiasing methods

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:59:43.360693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:fdd2e53042bd3b14e2d447264c3dc9dc7505b314aba3da2e7fd12f8be2967077

Observation b9b30fbb-a0a2-4252-b647-e77de3385e9c · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Multitask Prompted Training Enables Zero-Shot Task Generalization Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 74

Resolution
metadata mismatch
doi, observed 2026-05-14T17:59:42.882174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:01ab337469b0eff78741687bd3410fe5d9f49d923760cb1445101103232bf0a0

Observation f207e3be-5991-4ba3-af77-6efa58737713 · outbound

This paper cites Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections.

Multitask Prompted Training Enables Zero-Shot Task Generalization Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections

Reference 76

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.265643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:41352b3c46a81b89743e05e430ce7cf944904d45cbf14248096515963d936a28

Observation b4b59660-2527-4584-b2f7-526ae39f9cb5 · outbound

This paper cites The impli- cations of releasing large language models have been extensively discussed in Bender et al.

Multitask Prompted Training Enables Zero-Shot Task Generalization The impli- cations of releasing large language models have been extensively discussed in Bender et al

Reference 77

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raw_fallback, observed 2026-05-14T17:59:43.275842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:e64c36eaab62322987fa28a6b83b539e431bd7c0813bda4837acdec6e9dc6a80

Observation 9fb5975d-6182-4c8b-b1e4-5cb645048820 · outbound

This paper cites helicopter.

Multitask Prompted Training Enables Zero-Shot Task Generalization helicopter

Reference 78

Resolution
malformed identifier
raw_fallback, observed 2026-05-14T17:59:43.285647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:f77985d6472ad816587b1cb7ab53d6278237f10ae0579cad64e6a494ed7ed69a

Observation 704892de-deed-43a9-a6ed-6fa5fe977dff · outbound

This paper cites question answering.

Multitask Prompted Training Enables Zero-Shot Task Generalization question answering

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:59:43.290181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:03dd2afdb615eefa7a8162431728c4e09a1b1fbc7a7540cf657c1fe1521108e8

Observation bbe44b15-b76b-40bf-b49d-68cf2520ee8a · outbound

This paper cites attempt to capture physical or scientific reasoning, as distinct from sentence completion, reading comprehension, or broad knowledge question answering.

Multitask Prompted Training Enables Zero-Shot Task Generalization attempt to capture physical or scientific reasoning, as distinct from sentence completion, reading comprehension, or broad knowledge question answering

Reference 80

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verified fuzzy
raw_fallback, observed 2026-05-14T17:59:43.305450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:a1cdc8d1fb86d0d5e600937604764d7efc517859b0ad1d2d035b5bac87ab8954

Observation 39e8c5ca-9eeb-4017-b8b0-38fdcaf97999 · outbound

This paper cites commonsense inference.

Multitask Prompted Training Enables Zero-Shot Task Generalization commonsense inference

Reference 81

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malformed identifier
raw_fallback, observed 2026-05-14T17:59:43.310393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:31ab55f6889ca8e160f78f8792ce7b93db56553c38837bd1d77b264672eafbb2

Observation 97a1907b-0ba1-4461-b055-18dbd5cdb40c · outbound

This paper cites Paris is the capital of France.

Multitask Prompted Training Enables Zero-Shot Task Generalization Paris is the capital of France

Reference 82

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verified fuzzy
raw_fallback, observed 2026-05-14T17:59:43.316443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:f22fe111438273dee5b671a2201a2dd615f301ce7498dd3e7fe6f7b015c7856d

Observation 5321fa38-a56b-4cee-8519-93dda62a3e28 · outbound

This paper cites {{sent_more}}.

Multitask Prompted Training Enables Zero-Shot Task Generalization {{sent_more}}

Reference 83

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malformed identifier
raw_fallback, observed 2026-05-14T17:59:43.320640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:7b49187437b1fbe21b309f7be8678bc4a478a445365a856cf86c28eff186b409

Observation 2ae57557-ab1d-44b5-8dd5-5c5c309b82a9 · outbound

This paper cites {{answer.aliases|choice}}.

Multitask Prompted Training Enables Zero-Shot Task Generalization {{answer.aliases|choice}}

Reference 84

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verified fuzzy
raw_fallback, observed 2026-05-14T17:59:43.334392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:590fadbdf9629548d42e1f547c9ab798087c7b2d497bcd7558200984dd52b816

Observation 1f4a75c4-2e5c-4894-892f-d73975d8c63e · outbound

This paper cites {{answer}}.

Multitask Prompted Training Enables Zero-Shot Task Generalization {{answer}}

Reference 85

Resolution
malformed identifier
raw_fallback, observed 2026-05-14T17:59:43.270981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:8663afe6b48d24303406e6457ac69d4104dc921cc853eb93e30e6a2d036afc36

Pith citing papers

Observation e1105d09-5345-4088-a368-5f75af0dfb4d · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 249

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T14:22:57.925354Z digest=sha256:6c2a43f63b877fdf11bc4a2db976d61c8b3ce9373517c78c4eec3b5e8e790e63

Observation 22c4ddab-25ee-441c-885a-70463b363f80 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:1b69435414139d0b8e29dcc2271b44ff4322511b17c0e1363c042838fe09ff82

Observation 743884ad-3549-4c40-858f-14df0c2a1ed7 · inbound

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-24T12:14:26.597618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T12:10:49.690618Z digest=sha256:0250e25ab6848bded2c3db29c05dfed49be7401e3695ca9708dbc74aa0e59dc1

Observation 12ea9c2d-0429-4df7-974e-25eb22097c06 · inbound

PaLM: Scaling Language Modeling with Pathways cites this paper.

PaLM: Scaling Language Modeling with Pathways Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 133

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T23:45:06.755839Z digest=sha256:fd73c93da210cf5ed4f61ab0c8c8e70c01c737cce90868faf9a18870176c6da1

Observation bf8f31bd-2956-4fe9-b160-fdfb467582cb · inbound

GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 82

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verified exact
local_arxiv, observed 2026-05-24T12:34:28.432504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T12:33:37.701655Z digest=sha256:0e776060c8b0a39d2253705abdc49184316de3ba43422f0082f577b4190e72f7

Observation b6c9162c-ca8d-4852-9aa6-655a3e9b1efe · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 65

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:15c335da326423e51b4a18255cd3af1ff2c0692a9275d7097de1e931f46ece36

Observation f4ae46aa-6670-45c8-9820-fff882981e72 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 230

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:41c329837e964a1a1ed1925a4c6f20a9f4720ed8a9fef39941e2a06b7b7cfff7

Observation 16602fe0-226b-455c-981c-87c5dcc0d998 · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T05:02:50.361561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T05:02:50.117120Z digest=sha256:30d70d1b25797f337aba193a401cdb21693091dc336827ceccc27166043782b4

Observation 29f5c200-1097-4bf6-bd93-ed2299d2330e · inbound

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

Discovering Latent Knowledge in Language Models Without Supervision Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:34:08.250101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T20:34:08.207848Z digest=sha256:c9f7e9669b3561790a1c2669c670039def8ddfc312cbe35d97d9b3fe17a225dc

Observation d63a43c4-0090-405e-b0c0-5ab2d15a4ef8 · inbound

Editing Models with Task Arithmetic cites this paper.

Editing Models with Task Arithmetic Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 90

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T08:09:12.716163Z digest=sha256:bbc781dd84fa611cfcb1bc5aa98872198d0f042187ad0a63e8cb5a76bd9ef8ea

Observation 27525df6-af94-4eb8-82a3-2bf087a6ad6c · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T09:14:16.322047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T09:13:30.054153Z digest=sha256:56c2db706962c8e2519b8eb949b1f40cef307f4e0b5d0198cc1ce3b1414c9dee

Observation 3ed18022-6045-4b14-871a-26e04f4efbf7 · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 160

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T19:03:06.288442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:7f1fd9b8cdee8f4e46f99efd651f3acf598da087f5c2bad6c210650a57044180

Observation 2e3659f1-dec6-4483-97c6-5fbb71e3b991 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 109

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:45:17.832206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T17:45:17.540282Z digest=sha256:0d4efb9457eba388cb82fa0ca1170409b05d224a6b238628a02b0b53fb19f9ff

Observation beaab09e-c1e4-4eb2-aea7-de8060135f21 · inbound

Instruction Tuning with GPT-4 cites this paper.

Instruction Tuning with GPT-4 Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:04:08.782586Z digest=sha256:ac77c2b839069b338b7c672a5c6764f38dc49416bdee9135ded99f4a5f68ec17

Observation 6fb2618f-868d-4126-b447-c900302777e6 · inbound

Otter: A Multi-Modal Model with In-Context Instruction Tuning cites this paper.

Otter: A Multi-Modal Model with In-Context Instruction Tuning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:47.839537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:43:47.775691Z digest=sha256:c94a496485fe182fe1b26ac19a250a05758a7caa89536ea247290e173df69b5b

Observation 1421817c-1df3-4e1c-9bb1-53ecb2ac3d25 · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T04:32:33.514411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T04:32:33.271634Z digest=sha256:1a7c8601a401e52d21595c884dabd64756167606109e2da5fdd772e90849c9fe

Observation ee63d6eb-4f98-44b8-89d6-bf18cfa69cd2 · inbound

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 253

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verified exact
local_arxiv, observed 2026-05-15T17:25:08.090791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T17:25:07.730933Z digest=sha256:d97ed7f1574472d252dbfe9127b23c1a8fbf3686b18e7fbbe7dfd654d2affcbb

Observation 8dda0f67-e376-4de9-ba43-89f0a9c46dbe · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 50

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T13:29:53.345251Z digest=sha256:c51138f28971ca5778c78cc56f5695b6be108b05686b895c7906c17d3b687b50

Observation 489b070e-0911-4e83-b113-28b6ae59847c · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:308b98fd591a28d8fcb49df68fe92729846cc052d88412e5ffd673325995c49a

Observation bfacc933-ffe7-427f-8586-1764500adc62 · inbound

PandaGPT: One Model To Instruction-Follow Them All cites this paper.

PandaGPT: One Model To Instruction-Follow Them All Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-16T09:01:37.160630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T09:01:37.096206Z digest=sha256:650dd10efa043a4e076a044080fae75bb41cfa34bbee3163862ee2b74a391c1a

Observation 4d6d62f8-8726-45f0-937c-e7f4deb671f0 · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T08:29:11.367021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:27:35.798991Z digest=sha256:4ba15cc96d8ffdf223285461b23fafcb0d811694f119d4ee4a678493ae5c93a9

Observation 1f804042-6b7f-4a18-baed-2aaeb788ad7a · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 99

Resolution
verified exact
local_arxiv, observed 2026-05-16T02:56:42.654796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:5a89278e0c58a092ba1f601d6869d2664187aa0f76e5f2085f58cca1d1255a5e

Observation 8973f6fa-3899-45d3-a2a3-91d3d5cb11b0 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:28:39.442403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:b3eb599a90ad517d2714b72225bc8ed83e5442290b42f5e205f5dfdd74130435

Observation 9af86fc8-ba49-4a81-ba65-56311ebc61c3 · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-16T14:48:08.674888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T14:48:08.508109Z digest=sha256:b28cfd1c71acf9dfbc65909aef43b82dea6d7978c83bdd91ba67d2e44fdc2f8f

Observation acf958ff-7e37-4aea-b8b4-adbe82494ba5 · inbound

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate cites this paper.

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T13:03:18.765496Z digest=sha256:f8b80936c83987cd93a0685516d822fdc4260d4a03eadd9e02b28121eac4b3d0

Observation 720b6bbb-5430-482d-84ee-1d262054b18b · inbound

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning cites this paper.

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:26:42.016416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T08:26:41.953873Z digest=sha256:0f66629e96b8e43667c4337c18801b61300daaf10982cb15fcbaae9b56b67240

Observation 6a91b761-0102-4761-91e9-4da1c98dd91f · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:6031e22fe143efc230e38370bc8fe5741b39655e5c54f805070cad6250651c6f

Observation fc6835b7-e6cd-42b1-893b-059bb63ce16d · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 160

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T06:11:49.574055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:9c45a2cba56ed1fe58a83b096d60b55cf83234dfe1627859c7a7089b16be483a

Observation 1cfa47d9-2593-4cf5-bb9d-117b880fe810 · inbound

Llemma: An Open Language Model For Mathematics cites this paper.

Llemma: An Open Language Model For Mathematics Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 177

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:17:46.330133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T08:17:46.055279Z digest=sha256:92bd6624a02cf262621f6bd4992b0065b584a228a2bfbf92e0c65102a5d1241f

Observation a9e6108b-b372-47c2-a07d-453212570743 · inbound

Zephyr: Direct Distillation of LM Alignment cites this paper.

Zephyr: Direct Distillation of LM Alignment Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 25

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local_arxiv, observed 2026-05-16T10:13:57.419166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T10:13:57.361932Z digest=sha256:0a8e2a8e42faadd195b51ddbea6cf0bdc372d6251792c9d8160e0d970467bc07

Observation 6b530596-6414-4a8c-af4a-04358233053c · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 34

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metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-13T12:01:42.290502Z digest=sha256:4359015fda4e1d561b67210e413ac3521ea051b95226a6cf7fc45965e8234bb6

Observation 7a428b13-4a98-4ef7-b813-487a0252d8b8 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 80

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arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:1e401a14611adac0fc5fe42fd6ec4c7d3d9affbe0634737f86460a48b53a91d5

Observation c0f89724-686b-471f-8c19-b380e0c78d10 · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 75

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arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:49639d13531a4d2f38e315ce1497feb7e7472429b1886c8200b12eba7d551f6a

Observation 215a3e30-542b-4e41-855b-8aa9356a55d2 · inbound

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 31

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T15:51:04.674346Z digest=sha256:1ca0574cc36178977e0fe0b719d777d613907c0a078f9a7e03e7a11ace9d2985

Observation ce0616ab-322d-4ca4-8e77-ecb404bfe918 · inbound

Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.

Deep Time Series Models: A Comprehensive Survey and Benchmark Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 210

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verified exact
local_arxiv, observed 2026-05-23T23:05:51.331670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-23T23:03:45.096751Z digest=sha256:7e0218fad57e3ba68d04ebfd750f41c3d28456a6d3cdda26a1dea301ce8e802c

Observation be133997-9100-4b7a-aa6e-e91779ef14e6 · inbound

Towards Agentic Runtime Healing cites this paper.

Towards Agentic Runtime Healing Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 49

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metadata mismatch
local_arxiv, observed 2026-05-23T22:15:50.028767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-23T22:14:23.865122Z digest=sha256:0e405ef31307a4361c4e4caccd6193f15d0a4be3bfaf956168434a4375ac611e

Observation 4c4cee9f-7db3-4662-bf58-b319e5e65482 · inbound

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

MiniMax-01: Scaling Foundation Models with Lightning Attention Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 36

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verified exact
local_arxiv, observed 2026-05-16T06:26:38.688305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T06:26:38.569394Z digest=sha256:db8db81ae9a9a58ee5739cce79887bd81b932c0290b39a9ef8c61d3287f629a6

Observation c30f9b92-b3d2-4695-ae26-b7729950fe38 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 220

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arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:513db893aa22fac21cbfef6e82d303dc9000ee112718dcce41d68595e1553a96

Observation b71cda01-c42d-416b-bc8b-438db84a1088 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 139

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arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T13:02:43.571234Z digest=sha256:35b191933b51bad6d35ae7483ac72450e9a0421551a3c3eeb344dbd7da0b5b20

Observation a5141754-f7c7-4fca-b96e-489e06d8834e · inbound

MetaLint: Easy-to-Hard Generalization for Code Linting cites this paper.

MetaLint: Easy-to-Hard Generalization for Code Linting Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 36

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verified exact
local_arxiv, observed 2026-05-19T04:12:02.918106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T04:07:31.283348Z digest=sha256:3d23e2f758315678ed079668c80c36bd8ad998e94e5b8c69222dab580ccf6963

Observation b8f3f1eb-0fbe-4ce4-890d-6c03965f4373 · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 63

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verified exact
local_arxiv, observed 2026-05-18T09:26:10.596860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T09:25:06.990685Z digest=sha256:3540703ba5a4b12b9cac9a3bf34b6cc5ec24c001ae131b32bfa57cd61069d687

Observation 1642de8c-6f11-4828-9552-9f10bd277e3f · inbound

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 16

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local_arxiv, observed 2026-05-25T07:25:29.012685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T07:23:53.703286Z digest=sha256:9baffacebd2718ce6c9e59b7003585042d4ac730bf3072357cc5b36d61aad42f

Observation b2198f45-d122-47d8-8023-d282867f655b · inbound

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 16

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no resolver link, observed 2026-08-03T16:38:12.869429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:38:12.869429Z digest=sha256:04b981aac02b25bd42528e54853015e12c6b93eb0a2bf3f1c879bbd831a95a43

Observation 7ee7d436-664f-4f41-b82e-4035a58e9f57 · inbound

Improving Scientific Document Retrieval with Academic Concept Index cites this paper.

Improving Scientific Document Retrieval with Academic Concept Index Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 39

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unresolved
no resolver link, observed 2026-08-03T13:06:35.142398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:06:35.142398Z digest=sha256:dd1ba148d6d0fa2b38312d9df574cbce3efad86b7d16981d26adde2303603aec

Observation 477eadef-7ac4-4618-a42d-e21323561006 · inbound

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection cites this paper.

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 51

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no resolver link, observed 2026-07-13T19:38:38.452093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:38:38.452093Z digest=sha256:2726cc230e42bac8d53b5fc3d16832db89ae971c6362576a91d8623b875c2a21

Observation 016f7bbb-470d-4a0d-a2a7-daf707295dc9 · inbound

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation cites this paper.

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 44

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T06:48:11.250689Z digest=sha256:c457274db9b397d4263795076002fa0b3be46fb45c0595018df3f26202fe534d

Observation 1d183daf-fd66-4c3b-882c-981d4e03fd19 · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 190

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arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T01:36:50.329664Z digest=sha256:74c3ed4d80efbec1591ddce50848c489dc88d8f5e0ac24173042f499f92e762e

Observation d74cceb6-d33f-48fc-ae3b-68fc2dc4ff9b · inbound

Text Style Transfer with Machine Translation for Graphic Designs cites this paper.

Text Style Transfer with Machine Translation for Graphic Designs Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 15

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verified exact
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-07T13:27:14.566696Z digest=sha256:af66ccae2f2e895aace6dd7791c30ebbf7152e65b787fd0bba8cc4567cd721bb

Observation 2f99bb5e-5fc5-4d95-ae22-fdec0c226f84 · inbound

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework cites this paper.

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T20:26:09.112189Z digest=sha256:8e13a3d2ab9a496da8f69c6099ff4488ed8cc46d4794b67b5533a2b5485ef3f8

Observation 5824a4d5-8e82-41cc-bdf5-d40ee1866f97 · inbound

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 13

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arxiv_id, observed 2026-05-14T17:59:43.395267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T02:18:17.478817Z digest=sha256:174ad565e719519e50a48bcd842a9c94aa67affb8e810de70b10369ccf623041

Observation c9480950-69bd-4fa3-8a50-bbc44c995f7a · inbound

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 15

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local_arxiv, observed 2026-05-19T17:33:09.404515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-19T17:33:00.747846Z digest=sha256:2a9be29d6370b4f1851320ef22b7ef75de9bca0543ab35c709ff2f3dd4ae40e4

Observation 4c3faa88-3a44-4ce6-915d-893569cd6f9e · inbound

Understanding and Accelerating the Training of Masked Diffusion Language Models cites this paper.

Understanding and Accelerating the Training of Masked Diffusion Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 61

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verified exact
local_arxiv, observed 2026-05-14T20:39:28.888764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T20:31:04.491385Z digest=sha256:b7e80260bf9ef38d4c9dbd97be1267891b78b8452f0914f7da9809ad8a06583a

Observation a9731033-98c2-494e-9141-daee85b8b71b · inbound

Understanding and Accelerating the Training of Masked Diffusion Language Models cites this paper.

Understanding and Accelerating the Training of Masked Diffusion Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 61

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unresolved
no resolver link, observed 2026-08-02T14:15:52.063866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:15:52.063866Z digest=sha256:0a02eb4a7ab8d226b13b808aa353a7a01114252b9bd6e2a6a31285f01ebadc19

Observation 08502d98-e185-491d-9670-a3e391a7809b · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 68

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metadata mismatch
local_arxiv, observed 2026-05-15T05:29:48.319189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:d0225d45573bc4d904e9c368761c955ebfc675aa980ec4fa6317b168570d6831

Observation 004835b0-cd64-4296-991c-ccfaa1326251 · inbound

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation cites this paper.

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 19

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metadata mismatch
local_arxiv, observed 2026-05-21T00:49:19.506732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-21T00:45:14.845401Z digest=sha256:c9e180a7ea3e90e2f3d5d44b73c179401d8a3a6e7e4d934f8377f9c9dcb43d61

Observation 78b6b78b-b637-40f2-84ae-46ced294cf98 · inbound

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning cites this paper.

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 12

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metadata mismatch
local_arxiv, observed 2026-05-25T04:55:23.993737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T04:51:05.359636Z digest=sha256:597b3ca68447a9f1a611e8a25e029b62007921c18ca90f5043bb0823253a6e89

Observation eefc05e5-d8b5-47f0-92b1-1551317af8bd · inbound

A Unified Structured Query Understanding Framework for Industrial Semantic Search cites this paper.

A Unified Structured Query Understanding Framework for Industrial Semantic Search Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 26

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verified exact
local_arxiv, observed 2026-06-30T14:54:45.451139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-30T14:51:33.630394Z digest=sha256:82637bacb6b70867d5ed7b46c2eb0ce9ab84b444ef4a672826a5f1c8cae8122e

Observation 598c52af-65ab-4c80-9c31-78d828666b8c · inbound

OPRD: On-Policy Representation Distillation cites this paper.

OPRD: On-Policy Representation Distillation Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 31

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verified exact
local_arxiv, observed 2026-07-02T11:56:55.299771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T02:46:52.991519Z digest=sha256:e3253714870c9c0a3a3e2513604b11415f13e2eed1da57177ed35c7a46200865

Observation c0a6ad19-9a99-4cf2-a818-29ba3e32cbcd · inbound

When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing cites this paper.

When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 57

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metadata mismatch
local_arxiv, observed 2026-07-02T17:07:13.137561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T22:08:57.792229Z digest=sha256:496a47ebe7438555e706fc2cdc7b14ead02150b1b74f6294a8eff62e7e137c57

Observation ebd07e59-ac03-44af-ab3e-a28bc73c8121 · inbound

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning cites this paper.

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 162

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metadata mismatch
local_arxiv, observed 2026-07-01T10:25:41.484958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-01T05:33:52.027771Z digest=sha256:56b0f1ef0fa5d5eb22a5a7a7fecb60f9bb4d7684459411cded5c2cd53e3e03f2

Observation 4bd0a868-1c11-4661-83df-534d919fd76c · inbound

Scaling Point-in-Time Language Models cites this paper.

Scaling Point-in-Time Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 2021

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no resolver link, observed 2026-08-02T15:39:39.110714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:39:39.110714Z digest=sha256:4bf2c11c5afcecdbc16fb546196ab972ce48124a2b75cf3b78bbf686f36ca4f4

Observation 402360be-3ae2-4aa8-807f-61ddf582020e · inbound

What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification cites this paper.

What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 30

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unresolved
no resolver link, observed 2026-08-01T16:37:35.923417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:37:35.923417Z digest=sha256:c3319faaa25c5d7ead79dba0a3b1bc78f91a792fcac14e6da80891d6eb0ca819

Observation a873cae0-9913-460b-ac31-916b47693249 · inbound

Signed Rectified Flow: Negativity-Controlled Generation cites this paper.

Signed Rectified Flow: Negativity-Controlled Generation Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 2

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no resolver link, observed 2026-08-01T15:16:57.685565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:16:57.685565Z digest=sha256:34eaacad997079598d080fe3d6db164a83a35d58445eabe738c69cba34409104

Observation 83e97f75-e045-41b8-bc55-953a4db40ff0 · inbound

Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models cites this paper.

Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 2021

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unresolved
no resolver link, observed 2026-08-01T12:21:27.618990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:21:27.618990Z digest=sha256:7ae31831a03cb484e9e675ba2702a434ff9924daddbb7c4f9c80e97ad39a11f7

Observation 526d2e1e-e3f0-4863-b979-54a6f212851b · inbound

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD cites this paper.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 82

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unresolved
no resolver link, observed 2026-08-01T10:42:44.204080Z

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source=arxiv_source observed=2026-08-01T10:42:44.204080Z digest=sha256:323446e259dce91629e0a55814e7c63cff35e3d4d08f5c05913e3863cd30e563

Observation ea44b24b-2726-41ee-9d9b-babbd3a7cd97 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 98

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no resolver link, observed 2026-08-01T08:29:33.268430Z

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source=arxiv_source observed=2026-08-01T08:29:33.268430Z digest=sha256:9537820882367fdb674634dcda3fee2948eb8bb0cb477f2d37cb4ebaaecfe0cd