Paper Citation Record · LEDGER

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

As of 24 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 49 inbound Pith citation observations for arXiv:2301.13688.

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

pith.paper-citation-record.v1
2301.13688 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

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

measured 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:01.959889Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

63 of 63 outbound references displayed

verified exact32
verified fuzzy12
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch15

External citation measurements

112
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 88ecd95e-0d87-4cd6-9ffe-b38ca88be16c · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.371577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 758bf1d2-352a-4fa2-b9a5-281ebeee917a · outbound

This paper cites ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.455950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55e43099-3482-451d-85df-ebd291ec9cc3 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:15.887934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3d767d0-0bfd-493e-bf24-3b981e5bb898 · outbound

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

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning On the Opportunities and Risks of Foundation Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.541559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 191e9a6c-88e7-46f7-a625-1f500d941dda · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning PaLM: Scaling Language Modeling with Pathways

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.356701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f4c705d9-8374-4a61-b399-af917374a6a1 · outbound

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

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.460987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 007c7c0d-f10d-4685-9402-12603d50563f · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.546553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 566f9c65-e838-4fd9-9b53-8c973d4fd65a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Training Verifiers to Solve Math Word Problems

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.314509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39ca9f85-0faa-44ca-89d7-2ab596c641d8 · outbound

This paper cites Ashwin Devaraj, William Sheﬃeld, Byron Wallace, and Junyi Jessy Li.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Ashwin Devaraj, William Sheﬃeld, Byron Wallace, and Junyi Jessy Li

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.008847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f08f2921-9726-48a4-af47-1dcae35af14c · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.506.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning doi: 10.18653/v1/2022.acl-long.506

Reference 12

Resolution: verified exact; doi, observed 2026-05-24T09:14:15.892486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f9546078-ba96-417e-bb62-bfed3f8f2bf1 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.294944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d4874ce-68d1-452e-8c9d-6571b2c9dada · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.480491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bfbcf1f5-3f93-4d96-956c-26ec11919194 · outbound

This paper cites RARR: Researching and Revising What Language Models Say, Using Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T09:14:16.490462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b11db04-25bd-472b-8a8a-ce02b4b07332 · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Improving alignment of dialogue agents via targeted human judgements

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.363902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27c10157-d483-4577-b583-bf0f2533baac · outbound

This paper cites InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.530878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2645ea3-9151-4172-b565-948c48458d92 · outbound

This paper cites Training Compute-Optimal Large Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Training Compute-Optimal Large Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.417815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9663fafa-0bbc-44dd-9420-1a0b4a6141d9 · outbound

This paper cites Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.525698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94410ea9-18c3-431e-9639-5335ed401f6d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.449306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b389261a-b517-4603-a6b1-730ae51dde7d · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.406184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96f42c8a-bdde-486f-b40e-2b454eb6f8ea · outbound

This paper cites OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.475814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b359bcc1-3ac0-4a57-a734-41eb4b9c8dfc · outbound

This paper cites Unifying Question Answering, Text Classification, and Regression via Span Extraction.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Unifying Question Answering, Text Classification, and Regression via Span Extraction

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.443948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0355d574-abc3-4ea4-965d-4dd4f895e36c · outbound

This paper cites UniﬁedQA:CrossingformatboundarieswithasingleQAsystem.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning UniﬁedQA:CrossingformatboundarieswithasingleQAsystem

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.030142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 85860fe8-a151-43d3-80ed-41bcf4e5960b · outbound

This paper cites an unresolved cited work.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-24T09:14:17.051037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36e845d8-0fb5-44ac-908f-28b28ba2d259 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.508523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39b91a90-e6d3-4206-999a-16047ba7b1de · outbound

This paper cites URL https://aclanthology.org/2021.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning URL https://aclanthology.org/2021

Reference 29

Resolution: verified exact; doi, observed 2026-05-24T09:14:15.896659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 652f9de8-2d45-45eb-957a-44ac01cc6f35 · outbound

This paper cites doi: 10.18653/v1/2020.acl-main.703.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning doi: 10.18653/v1/2020.acl-main.703

Reference 30

Resolution: verified exact; doi, observed 2026-05-24T09:14:15.882473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2c7414a-13ce-438c-b0be-6a901b70ffa2 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Solving Quantitative Reasoning Problems with Language Models

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.398437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7952597a-2c8b-440a-a7c1-8d0fbfe56a32 · outbound

This paper cites WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.307535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5a792ae-baff-4851-89af-9ec7db23773a · outbound

This paper cites Howeﬀectiveistask-agnosticdataaugmentationforpretrained transformers? In Findings of the Association for Computational Linguistics: EMNLP 2020 , pages 4401–4411.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Howeﬀectiveistask-agnosticdataaugmentationforpretrained transformers? In Findings of the Association for Computational Linguistics: EMNLP 2020 , pages 4401–4411

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.015616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f1422e9-134d-4586-bd2d-f0523c0a9afb · outbound

This paper cites Entity- based knowledge conﬂicts in question answering.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Entity- based knowledge conﬂicts in question answering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.012066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2039fdc-bba2-4659-9b40-8739e7cb410c · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning On faithfulness and factuality in abstractive summarization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.005591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e92a788-a5bb-4ca0-8d4b-36b4db5e3374 · outbound

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

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning The Natural Language Decathlon: Multitask Learning as Question Answering

Reference 36

Resolution: malformed identifier; local_arxiv, observed 2026-05-24T09:14:16.347695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 214b2b0b-62d4-4551-aae7-98a684c98977 · outbound

This paper cites The Radicalization Risks of GPT-3 and Advanced Neural Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning The Radicalization Risks of GPT-3 and Advanced Neural Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.300932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 953fa6ca-4fed-43c7-a4cc-7e6f6305e94a · outbound

This paper cites Sewon Min, Mike Lewis, Luke Zettlemoyer, and Hannaneh Hajishirzi.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Sewon Min, Mike Lewis, Luke Zettlemoyer, and Hannaneh Hajishirzi

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.002239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2fc5103-797a-460a-9e3c-88973ca45451 · outbound

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

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.518612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad200f19-f2c0-4d95-b20e-0945d6d22325 · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Crosslingual Generalization through Multitask Finetuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.290290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7fdd210-08c4-41bd-9075-65c2bf569d97 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning WebGPT: Browser-assisted question-answering with human feedback

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.484775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c031496-28f5-4758-bd74-ee1c62efefc5 · outbound

This paper cites Training language models to follow instructions with human feedback.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Training language models to follow instructions with human feedback

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.284485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 85c5b8f5-c6b0-4717-9974-8f65e39edda0 · outbound

This paper cites Arkil Patel, Satwik Bhattamishra, and Navin Goyal.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Arkil Patel, Satwik Bhattamishra, and Navin Goyal

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:16.999125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3b286bc-cc6f-4794-9bbf-53d334864877 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.339591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7029cad0-0da8-4c8c-89d5-c5dfb2272b1b · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.328824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f9f7ea4-bdca-4847-b506-dcda38b9928f · outbound

This paper cites CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.424523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5886f98-9e55-4429-910e-7a75f63e791d · outbound

This paper cites Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.503648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea36860d-4974-4bbe-987d-975332d705fe · outbound

This paper cites VictorSanh,AlbertWebson,ColinRaﬀel,StephenH.Bach,LintangSutawika,ZaidAlyafeai,AntoineChaﬃn, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning VictorSanh,AlbertWebson,ColinRaﬀel,StephenH.Bach,LintangSutawika,ZaidAlyafeai,AntoineChaﬃn, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.044165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

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 2026-08-23T06:30:58.430688+00:00.

Observation 40bb1f13-0ede-415c-8537-0ddbcd0e54e0 · outbound

This paper cites doi: 10.18653/v1/D19-1339.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning doi: 10.18653/v1/D19-1339

Reference 52

Resolution: verified exact; doi, observed 2026-05-24T09:14:15.873771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d666164-e69e-43d1-9965-309b6f602f02 · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Large Language Models Encode Clinical Knowledge

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.514281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e208446e-2900-4851-90ab-8b131f407bb0 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.494657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2676db0a-d9b8-45b7-ba3b-7aca5b8e5b5f · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.498887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc988501-a154-4fa9-bcc8-629729128d63 · outbound

This paper cites an unresolved cited work.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-24T09:14:17.033955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a0dd766-ef91-4a66-ad69-16caea522272 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning UL2: Unifying Language Learning Paradigms

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.537141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b82d451-d934-49ef-9060-ae40e5b40fc1 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning LaMDA: Language Models for Dialog Applications

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.380262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a1fa59e-4c6c-4e91-a742-6339456d7490 · outbound

This paper cites Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou’, and Daniel Cer.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou’, and Daniel Cer

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.037585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a349c555-02a3-4f1b-9426-9251f979781b · outbound

This paper cites Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.047650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf86fed8-c129-46ac-bdce-1f829f823232 · outbound

This paper cites doi: 10.18653/v1/D19-1221.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning doi: 10.18653/v1/D19-1221

Reference 61

Resolution: verified exact; doi, observed 2026-05-24T09:14:15.877464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac462a33-3b21-43aa-9cf4-c6e06d0879dc · outbound

This paper cites What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.430799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fde93e06-3f15-492a-85ab-da365e81ff90 · outbound

This paper cites MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.466194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f47fd42-e406-4835-b7f5-fe8fcceeedc7 · outbound

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

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.471427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3865ca79-b7cc-46ae-9889-4cbf4d73efa6 · outbound

This paper cites GLM-130B: An Open Bilingual Pre-trained Model.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning GLM-130B: An Open Bilingual Pre-trained Model

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.437094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c44102c-db25-4f48-82e0-b50ca30988da · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning OPT: Open Pre-trained Transformer Language Models

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:14:16.389868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20fec69b-aea8-49e1-b731-d5160d64d548 · outbound

This paper cites 20 A.2 Single-Task Finetuning.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning 20 A.2 Single-Task Finetuning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.022282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3fe5f7b9-4382-4aee-99f4-80e76fab46e2 · outbound

This paper cites These datasets are contained in the Flan 2022 ﬁnetuning collection and represent challenging benchmarks, often used to evaluate LLMs on QA and NLI.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning These datasets are contained in the Flan 2022 ﬁnetuning collection and represent challenging benchmarks, often used to evaluate LLMs on QA and NLI

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T09:14:17.025604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fa64225-82be-454f-9568-4994eb573dbc · outbound

This paper cites an unresolved cited work.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-05-24T09:14:17.019112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 7243a705-f6df-4dc9-9652-b79c103cdd77 · inbound

Language Is Not All You Need: Aligning Perception with Language Models cites this paper.

Language Is Not All You Need: Aligning Perception with Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:32:22.945650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39128a26-8fef-4469-b28a-93936a101372 · inbound

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face cites this paper.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T00:06:45.584018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 014b4f8b-13c2-4964-96c0-d25dce40f900 · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:40:53.719195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8720e55b-4b15-4442-85a2-5798fb669470 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 201

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:46:39.895494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 793432f6-6789-403a-b1d3-9b9586be4b43 · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:28:24.908226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a9d8022-4806-4004-a433-e4cbbe58ea2f · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:59:27.192290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3359ad56-3dfc-4b37-a7d0-d5327f84cc41 · inbound

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

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 246

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:25:08.147917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c4bf36d-1f14-4d58-a5dc-1708cacdb55d · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:29:53.560528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba585559-a604-4554-8cb0-b6a992aaff76 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:35:21.264047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5de40e0e-d688-4fbc-9ca9-36e30c1e56b6 · inbound

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:52:59.104420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6023a44a-6b7d-4ea0-a4fb-03b04bb6444e · inbound

Kosmos-2: Grounding Multimodal Large Language Models to the World cites this paper.

Kosmos-2: Grounding Multimodal Large Language Models to the World The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:19:48.056742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 640ad24a-3e5c-4325-9d31-20dca462e5b8 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 208

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T09:46:09.896593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1306d2a-81e6-4289-b61c-c35cbb148368 · inbound

AppAgent: Multimodal Agents as Smartphone Users cites this paper.

AppAgent: Multimodal Agents as Smartphone Users The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T10:16:43.838307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67e86b21-bbec-4298-9f64-b847ca53718c · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:31:11.611067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db7f2206-fea3-4d36-9092-c09a0e4d5349 · inbound

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning cites this paper.

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:58:03.210627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04398b2c-8c6d-481a-bd02-4058199d3b57 · inbound

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field cites this paper.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.783674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44295e4-e54d-44c9-9db7-9f4020f34b5a · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:19:18.891682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae647b55-1f42-46d6-b697-393dbeb5837b · inbound

How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T12:05:48.499266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28670dcd-1a98-4585-a12b-1a6b3d64a724 · inbound

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis cites this paper.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:59:28.325662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da4e2f5-7d8a-4b6f-be4b-c036700f19b9 · inbound

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging cites this paper.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T00:18:57.229525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e7ff170-1ce7-4598-9f69-437e880b870b · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T20:54:02.266755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d29b2234-00e6-485b-a5b6-9595600b5cb6 · inbound

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning cites this paper.

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:42:10.746779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8557850e-c10e-4548-ad9c-b73db24a4ab3 · inbound

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning cites this paper.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.754510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea988790-656e-497c-ae5b-91ac55725b5a · inbound

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections cites this paper.

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T22:34:08.076522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83af0024-a6fb-46cf-be68-267d854f6b6b · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 163

Resolution: verified exact; local_arxiv, observed 2026-05-23T01:05:16.330116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2eb12b0e-7764-4bfe-9028-ab4631375cec · inbound

D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model cites this paper.

D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:01.959889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02658bbe-889c-4347-ae39-baa2fbac277a · inbound

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation cites this paper.

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:24:04.561486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e9e2b38-8c79-4a2a-9839-be9d7bc72521 · inbound

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:22.051553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab3b404-10e6-428e-8ebc-221e7dca3548 · inbound

Data Pruning by Information Maximization cites this paper.

Data Pruning by Information Maximization The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 1982

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:03.041405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3cfcc9d-01c1-4c4b-9888-f9dda7e3710f · inbound

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification cites this paper.

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:49.193866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52631b08-b61a-41c0-942e-8ea85a51b27f · inbound

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models cites this paper.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.417175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c3db94-30a5-4a9c-b9b2-b7832dff1810 · inbound

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability cites this paper.

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:40.162587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac02de2-4be8-4c33-bddd-d830942e66bf · inbound

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources cites this paper.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.758887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138a3894-2d02-4acf-ab6f-13bad33a42f6 · inbound

HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision cites this paper.

HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:00.167973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307412f8-9ec6-4604-949b-9008ea4e6bba · inbound

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:35.794165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52929f99-87c0-4b09-a09f-3cbf48b5b619 · inbound

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs cites this paper.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T12:47:43.919893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c00bed-bdc1-4ab7-bc88-20baa0aa1aa6 · inbound

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing cites this paper.

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:19:11.392853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e42260-904e-47a5-8ada-f9860269f5e5 · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:50:47.520392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a98b89b3-7cd7-4cdd-8682-2f71d648d860 · inbound

Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News cites this paper.

Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:44.118629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544ca34c-2c5a-4c76-b34c-3d6c8c05bc72 · inbound

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers cites this paper.

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T16:37:52.929020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908bab4d-3866-4610-8abb-ab33627ac629 · inbound

Go-UT-Bench: A Fine-Tuning Dataset for LLM-Based Unit Test Generation in Go cites this paper.

Go-UT-Bench: A Fine-Tuning Dataset for LLM-Based Unit Test Generation in Go The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T22:23:30.099098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe4f1cc-117e-4979-ab9b-b339424c0882 · inbound

Beyond Static Personas: Situational Personality Steering for Large Language Models cites this paper.

Beyond Static Personas: Situational Personality Steering for Large Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:45:27.970310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 511a15f9-8b57-424d-af2d-c3f71f6ff483 · inbound

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.285101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7c27d02-e2fa-4c05-aa60-f66dad101415 · inbound

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification cites this paper.

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:23:31.873160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5031fbfb-2580-410b-b8b4-7ee94874f259 · inbound

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning cites this paper.

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:04:56.633254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dffccb34-b1a3-41cc-8663-3a784d7d7faf · inbound

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations cites this paper.

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-02T06:06:41.399455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3e398f9-e981-4f49-87d8-6b53d4e53cf6 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T08:49:15.001610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50cde21c-0997-4df4-a30e-c8ef546b679f · inbound

DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment cites this paper.

DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T00:17:36.181972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d16c187-9c7a-44c0-8431-418a3dd4df18 · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 300

Resolution: unresolved; no resolver link, observed 2026-08-01T16:08:01.264113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.