Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T05:25:38.967645Z
Paper Citation Record · LEDGER
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts
As of 6 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2605.14055.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
97 of 97 outbound references displayed
- verified exact37
- verified fuzzy39
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch19
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bcf55b7a-04e6-4b4f-998e-c6873fe1976b · outbound
This paper cites International conference on machine learning , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts International conference on machine learning , pages=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.486646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5417c59d-8c30-4009-8689-c69f3eed8c42 · outbound
This paper cites an unresolved cited work.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:30:05.496614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 482ed2ff-05cf-4cc6-82a0-d32de5f3a28b · outbound
This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.481788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b32d3681-6d31-47da-b400-1cfcfdcc0bab · outbound
This paper cites H yper L o RA : Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts H yper L o RA : Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation
Reference 4
- Resolution
- verified exact
- doi, observed 2026-05-15T05:29:46.597247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 438803ec-618f-4807-ad0c-39e237afe02b · outbound
This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:29:48.367727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 552f58d2-94eb-4d68-95ca-4d1e462ada64 · outbound
This paper cites Text-to-LoRA: Instant Transformer Adaption.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Text-to-LoRA: Instant Transformer Adaption
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:29:48.373780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5d5daea2-e85d-4209-a112-9e5220114399 · outbound
This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.491655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17a0a289-389d-4dbb-88b1-19381c55542b · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Advances in Neural Information Processing Systems , volume=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.501348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 45aaa30a-adc1-431a-98c6-95c8109a7e84 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.476928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 289da9f5-9e17-4418-af58-3d48ad312157 · outbound
This paper cites Transformer-Squared: Self-adaptive LLMs.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Transformer-Squared: Self-adaptive LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.294981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7f73c780-1a90-4937-97da-496f7c808946 · outbound
This paper cites HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.097347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 05f01c5c-48f2-405a-9155-16cd86309858 · outbound
This paper cites SIAM Journal on Optimization , volume =.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts SIAM Journal on Optimization , volume =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.832672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8ad1179f-6cb5-4865-952e-9917dab30ab0 · outbound
This paper cites The Fourteenth International Conference on Learning Representations , year =.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts The Fourteenth International Conference on Learning Representations , year =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.877636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e573403e-bbad-4022-bd58-4e79cb0e895c · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Advances in Neural Information Processing Systems , volume=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.885085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6af73287-38fe-4a0f-8a50-735787ac7f3b · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts IEEE transactions on pattern analysis and machine intelligence , volume=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.827571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7d2df73-c1fa-4269-8a5f-fd44bef71aed · outbound
This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.296815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3bb1e569-1ca3-4987-b0ea-0f335e80eb18 · outbound
This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the International Conference on Learning Representations (ICLR) , year=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.896872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9840d736-da0a-4e6e-a705-34e32f834821 · outbound
This paper cites and Ng, Andrew and Potts, Christopher.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts and Ng, Andrew and Potts, Christopher
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.888741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e4f3416a-6f01-4306-afe2-9f6f11b1e3f7 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.850297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 519323ed-fc38-4a2b-b1dc-14b280f26e96 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Training Verifiers to Solve Math Word Problems
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.291485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e0b42042-7357-433f-9065-620fc81d3ef8 · outbound
This paper cites Liu, and Christopher D.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Liu, and Christopher D
Reference 21
- Resolution
- verified exact
- doi, observed 2026-05-15T05:29:46.615085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7d4e083a-c42f-4418-aa07-fa748ed758e0 · outbound
This paper cites Quantifying the Carbon Emissions of Machine Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Quantifying the Carbon Emissions of Machine Learning
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:52:44.534862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8ba3270e-441a-4142-80d1-6f7b703f069d · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.862123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bc424473-998e-4bd9-8525-9b7b508b6c29 · outbound
This paper cites Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.872590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d04859c5-ed0e-4430-893d-164863b8a93c · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.868164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a94ef4e-1345-46de-bade-e382727810ac · outbound
This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.846169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17ea8872-d122-4d2f-b377-3e0438105e6d · outbound
This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) , pages=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.858107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 05af8d05-7f76-4e84-b8c8-51d4bce3bd40 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.267187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 02909fa4-9b8e-40f9-b499-fcd1dde57e5e · outbound
This paper cites Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-02T03:03:57.525930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3e62ada4-2b7f-45db-8bc7-8dcdc53d1213 · outbound
This paper cites Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.313903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f0516c93-6977-4afe-9865-c6827b4b2b8e · outbound
This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.362326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 741efc66-d360-4219-b007-059e8eb72c4f · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts LLaMA: Open and Efficient Foundation Language Models
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.278482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3e71d4bb-e23e-4504-ae70-71ccab984c87 · outbound
This paper cites Neural Network Acceptability Judgments.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Neural Network Acceptability Judgments
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:29:48.204626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0399b2bd-3042-4a3d-9690-7be8cdd0d294 · outbound
This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.109609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 945fa463-fdff-4973-a5e1-39cca53e6b0e · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.115715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46b7c17b-9249-4fe1-b967-fe63fec2bd0f · outbound
This paper cites Liu , title =.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Liu , title =
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.575215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5a99d368-f264-4835-9d13-8884b59908fb · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts LoRA: Low-Rank Adaptation of Large Language Models
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.155939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 59223836-e98b-4cef-b036-8dba6a28df4c · outbound
This paper cites DARTS: Differentiable Architecture Search.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts DARTS: Differentiable Architecture Search
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.237622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 21362e0c-9a07-490e-bd4e-b478f383904f · outbound
This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Optuna: A Next-generation Hyperparameter Optimization Framework
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.168552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 61117474-2fc0-4ff2-b818-6b37e8df62e6 · outbound
This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.301721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 078c9401-6ddb-43d9-aeec-906ae9d22fa1 · outbound
This paper cites 2019 , url=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2019 , url=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.579889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba686881-02b6-4a1f-ab51-0259d180a0f5 · outbound
This paper cites AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning , year=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning , year=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.565340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 32ce307c-4863-45e6-916f-7bdf0776edaf · outbound
This paper cites Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =
Reference 43
- Resolution
- verified exact
- doi, observed 2026-05-15T05:29:46.606883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0ad709ab-99fd-4d07-936d-4ace61e49fdd · outbound
This paper cites A Survey on Recognizing Textual Entailment as an NLP Evaluation.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts A Survey on Recognizing Textual Entailment as an NLP Evaluation
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.112481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 654070f4-8309-418b-ba1c-c187e4103ad5 · outbound
This paper cites WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.248683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eadfbd93-c0cd-4605-8294-bb01a824a5a5 · outbound
This paper cites and Davis, Ernest and Morgenstern, Leora , title =.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts and Davis, Ernest and Morgenstern, Leora , title =
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.560339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46fc189f-a5f8-48e1-86f5-d98c2ac163a5 · outbound
This paper cites The PASCAL Recognising Textual Entailment Challenge.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts The PASCAL Recognising Textual Entailment Challenge
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.570016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e5be9da9-bbf5-43fc-bc21-cd9bc57e4c37 · outbound
This paper cites author =.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts author =
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.854183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 19327abc-0266-4a9e-aa21-0ce31e14c3e7 · outbound
This paper cites Tune: A Research Platform for Distributed Model Selection and Training.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Tune: A Research Platform for Distributed Model Selection and Training
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.342984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6852d98e-1f86-40f0-a5b8-d20b3798c3bf · outbound
This paper cites Parameter-Efficient Transfer Learning for NLP.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Parameter-Efficient Transfer Learning for NLP
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.348653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 65c235a2-fcb9-493b-ad22-26d664d6d103 · outbound
This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Towards a Unified View of Parameter-Efficient Transfer Learning
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.337773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aaf401b1-736f-4279-ba4e-1b074eeb31f9 · outbound
This paper cites Compacter: Efficient Low-Rank Hypercomplex Adapter Layers.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.331934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8879bd09-3041-444f-b47f-73b507fa2d42 · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.273185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3c327dc6-6649-43a8-87f1-c71ee4dd8e33 · outbound
This paper cites 2023 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2023 , eprint=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.588709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 05b16036-5207-48f3-83da-57a91258305c · outbound
This paper cites 2023 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2023 , eprint=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.584188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fbf12883-9157-4771-8d8e-b919a6647e4a · outbound
This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.311343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae785731-b370-4e68-90cc-740aae41a747 · outbound
This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.231472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation edd31531-f2cc-471a-8283-8d54d1ee41d5 · outbound
This paper cites 2023 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2023 , eprint=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.881559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 196bf866-9697-4dd1-a957-d68689dd0ffa · outbound
This paper cites 2024 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2024 , eprint=
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.892557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b712571e-9a38-4e83-ae64-56d838499dab · outbound
This paper cites 2024 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2024 , eprint=
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.546269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efb01467-f1b7-4768-a3cb-d37e3c5e5194 · outbound
This paper cites 2024 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2024 , eprint=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.550856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f571bc2c-dfdf-4aef-ae9f-647676277528 · outbound
This paper cites A Survey on Multi-Task Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts A Survey on Multi-Task Learning
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.254973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9c37416-e8dd-436e-ba44-784b176d85cb · outbound
This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts An Overview of Multi-Task Learning in Deep Neural Networks
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.214862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f70a7194-adc4-4c90-900c-475e0c217ed4 · outbound
This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.901184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 448cb0a3-3fde-4d80-bf17-0ce9bca8c662 · outbound
This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.226981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6b8db92d-70d4-441d-8651-99d10ba4a862 · outbound
This paper cites Exploring and Predicting Transferability across NLP Tasks.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Exploring and Predicting Transferability across NLP Tasks
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.248825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 92685938-e42e-4555-887f-b7ca99e6e5a5 · outbound
This paper cites Muppet: Massive Multi-task Representations with Pre-Finetuning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Muppet: Massive Multi-task Representations with Pre-Finetuning
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.267446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 08502d98-e185-491d-9670-a3e391a7809b · outbound
This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Multitask Prompted Training Enables Zero-Shot Task Generalization
Reference 68
- Resolution
- 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 2026-08-06T06:34:29.942622+00:00.
Observation 8ab6ca35-5ccb-45bc-8818-f7f38ad81103 · outbound
This paper cites 2022 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2022 , eprint=
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.555400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7bd7b8db-9f04-46bb-ad83-e3a3606aa1df · outbound
This paper cites 2022 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2022 , eprint=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.525360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 76df79ff-008e-4ca1-a82c-06ce3256e2ea · outbound
This paper cites Finetuned Language Models Are Zero-Shot Learners.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Finetuned Language Models Are Zero-Shot Learners
Reference 71
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.225774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3cde81b1-2d40-49e7-bb50-3e8cac0d0e02 · outbound
This paper cites AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.283961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9f9ffef3-91f4-4432-b2e8-28b40a749521 · outbound
This paper cites Cross-stitch Networks for Multi-task Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Cross-stitch Networks for Multi-task Learning
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.305034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7aa0c353-b592-47dc-965d-098389ff9858 · outbound
This paper cites 2023 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2023 , eprint=
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.530630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98076630-23d0-43e1-b8be-81e9fae4c866 · outbound
This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.307391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 79a0fd01-09e0-461a-b2a6-d3ba87cc48aa · outbound
This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:23:26.501953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da192403-42f0-4e4a-b0ec-556d4446b363 · outbound
This paper cites 2024 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2024 , eprint=
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.535326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2b45da89-2680-4b93-97c2-14b5316ed86b · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.134903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation df1e32fb-8323-4175-87ea-f539fbf55711 · outbound
This paper cites Universal Language Model Fine-tuning for Text Classification.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Universal Language Model Fine-tuning for Text Classification
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:29:48.179945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e9927f2-4b45-486f-bfef-b6dc56e0b1dd · outbound
This paper cites 2023 , eprint=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 2023 , eprint=
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:35:05.841742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 81b3a40e-865b-4e6f-a23f-781975fb3f57 · outbound
This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.161490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f72b099-5e5d-4907-bbdc-7e999a5574e1 · outbound
This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.186310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 19f49483-6b2b-411d-a371-a19e93836268 · outbound
This paper cites P -Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts P -Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
Reference 83
- Resolution
- verified exact
- doi, observed 2026-05-15T05:29:46.611252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 14b05ce8-e8a2-436b-a75d-58efe2c1a945 · outbound
This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.175330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 346c9d01-5d66-4cba-a7e3-f86e99af982f · outbound
This paper cites On Transferability of Prompt Tuning for Natural Language Processing.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts On Transferability of Prompt Tuning for Natural Language Processing
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.117889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 32e873ab-0b1a-4e02-8c3c-19ae2da595f9 · outbound
This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.515729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 24af99bc-2093-44da-91a0-cd08af18632e · outbound
This paper cites Robust Learning Through Cross-Task Consistency.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Robust Learning Through Cross-Task Consistency
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.356055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17a24fec-48bf-4670-8c2f-fc94ad97b185 · outbound
This paper cites MultiLoRA: Democratizing LoRA for Better Multi-Task Learning.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Reference 88
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:29:48.232464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d57afa83-30b4-48a3-93b3-c46a7e4c0f0a · outbound
This paper cites an unresolved cited work.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:30:05.511195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c300e4a2-2927-4ca5-b713-74d45b7261cf · outbound
This paper cites Scaling Instruction-Finetuned Language Models.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Scaling Instruction-Finetuned Language Models
Reference 90
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:46.602811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d9f2f454-b5d5-44ef-aabd-bf3a7e8348ba · outbound
This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.521468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1223d766-586e-424a-9b20-d14e58672998 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.540797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0a1bff3d-6b95-4a84-891e-87077e2f51ab · outbound
This paper cites Journal of Machine Learning Research , volume=.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Journal of Machine Learning Research , volume=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:30:05.506500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 098361e4-99da-45fa-b929-13181ec9c9be · outbound
This paper cites Qwen Technical Report.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Qwen Technical Report
Reference 94
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.215667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4787068b-9bbb-47b8-ab4e-e7ae9e99e714 · outbound
This paper cites GLM: General Language Model Pretraining with Autoregressive Blank Infilling.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.220645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f6709bc5-7f58-4d67-a99e-2f0cf0165e7c · outbound
This paper cites The Llama 3 Herd of Models.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts The Llama 3 Herd of Models
Reference 96
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.289566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 83316c67-f7bc-4aae-93d2-8d468c4e6cbf · outbound
This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Reference 97
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:29:48.300010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.