Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation | Paper Citation Record

Observation 94f40d1d-586d-40a8-91a2-89fc190e1d93 · outbound

This paper cites an unresolved cited work.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.593482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc64000-02c9-4fb4-a1ea-4b295224fca6 · outbound

This paper cites GPT-4 Technical Report.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.597952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c1aa07-3799-4cab-bc05-2890c1368809 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Gemini: A Family of Highly Capable Multimodal Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.601640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38eb8d52-69f1-4dad-b0cf-33cec39a74b2 · outbound

This paper cites The Claude 3 Model Family: Opus, Sonnet, Haiku,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation The Claude 3 Model Family: Opus, Sonnet, Haiku,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.605264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ef80f5-c577-4496-b6cc-d6feb93ec3fb · outbound

This paper cites Large language models are zero-shot reasoners,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Large language models are zero-shot reasoners,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.608719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5182afdc-229a-4e3a-be80-d50d64d95a12 · outbound

This paper cites Prompting PaLM for Translation: Assessing Strategies and Performance.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Prompting PaLM for Translation: Assessing Strategies and Performance

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.612174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b2f13f-7e99-44d6-8c01-afd881b7c4ec · outbound

This paper cites Pegasus: Pre-training with extracted gap-sentences for abstractive summarization,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Pegasus: Pre-training with extracted gap-sentences for abstractive summarization,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.616256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda204f8-cb63-4b86-9c9e-7db37c73f763 · outbound

This paper cites On the nature of language,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation On the nature of language,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.619468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 474c67c6-bc2b-4c1d-a72f-635f1827f3af · outbound

This paper cites The synthetic modeling of language origins,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation The synthetic modeling of language origins,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.622922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df336e2-6463-488c-bcf8-343fc2a78ef8 · outbound

This paper cites Evaluating wordnet-based measures of lexical semantic relatedness,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Evaluating wordnet-based measures of lexical semantic relatedness,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.626429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67757094-fdf3-4053-9a26-c8cde97c7c79 · outbound

This paper cites Computational linguistics and deep learning,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Computational linguistics and deep learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.629848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94af3bd2-94c2-491c-8125-d34c0b0b68b2 · outbound

This paper cites The hanabi challenge: A new frontier for ai research,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation The hanabi challenge: A new frontier for ai research,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.633553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a886eb3-c7d8-4e26-9d02-0d6730c55609 · outbound

This paper cites Does the chimpanzee have a theory of mind?.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Does the chimpanzee have a theory of mind?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.636923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2442ef91-ecfc-442c-b87a-e13e91f47ae6 · outbound

This paper cites Machine theory of mind,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Machine theory of mind,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.640130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefdbf2d-d914-487d-9e10-1d3409b9debd · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.643530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf3836c-6d03-4157-aaf8-2b072c40480e · outbound

This paper cites Rein- carnating reinforcement learning: Reusing prior computation to accelerate progress,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Rein- carnating reinforcement learning: Reusing prior computation to accelerate progress,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.646796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cfbc825-dd92-4f0f-9525-bc64dc9acee5 · outbound

This paper cites Towards few-shot coordination: Revisiting ad-hoc teamplay challenge in the game of hanabi,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Towards few-shot coordination: Revisiting ad-hoc teamplay challenge in the game of hanabi,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.649793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8923ce49-26b6-44a3-b435-80dfac4b5181 · outbound

This paper cites “Other-play.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation “Other-play

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.653431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753ebc47-583f-4a12-a429-792ed1d0776c · outbound

This paper cites Llm-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Llm-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.656602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216465ea-7e58-49e8-a4f0-cdb5e385de9e · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Generative agents: Interactive simulacra of human behavior,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.659696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a140c73-056e-47a1-8b93-9891ebb8e105 · outbound

This paper cites A survey of large language models,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A survey of large language models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.662693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efaaf5ce-f08e-40b5-9230-76efc4679dcf · outbound

This paper cites A practical survey on faster and lighter transformers,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A practical survey on faster and lighter transformers,

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T04:57:25.975109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 728e0e44-d2e9-49f1-8132-a37929dc0e7a · outbound

This paper cites Attention Is All You Need.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Attention Is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.669074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9845f9d4-0a96-405f-8309-e6737c180feb · outbound

This paper cites Attention-Based Models for Speech Recognition.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Attention-Based Models for Speech Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.672446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5baa6305-7fe3-4c00-b7ea-30f0f20adec6 · outbound

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

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.675898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16df5d05-b09f-44d8-a05e-cad6c5ac4cee · outbound

This paper cites Character-level convolutional networks for text classification,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Character-level convolutional networks for text classification,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.679198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73bff336-8c49-4cb3-8dbd-1699be441053 · outbound

This paper cites Learning word vectors for sentiment analysis,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Learning word vectors for sentiment analysis,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.682309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88422141-e02e-4f76-bee4-76dc5d6ae80b · outbound

This paper cites Language models are few-shot learners,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Language models are few-shot learners,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.688645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382892be-f6d8-4bd0-9afb-423bd6bdac4e · outbound

This paper cites Language models are unsupervised multitask learners,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Language models are unsupervised multitask learners,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.691884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34ff6cd-fa21-4340-9c47-8a8c64e4e096 · outbound

This paper cites Opt: Openpre-trainedtransformerlanguage models,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Opt: Openpre-trainedtransformerlanguage models,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.694638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257b2e1d-00c3-4ae4-8ec3-1c1fa2230923 · outbound

This paper cites Llama: Open and efficient foundation language models,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Llama: Open and efficient foundation language models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.697557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d34099fc-64cb-4dd6-9a30-8da25caad244 · outbound

This paper cites Interactive fiction games: A colossal adventure,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Interactive fiction games: A colossal adventure,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.700408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e4cb47-3b66-4706-b412-179619070f43 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Do as i can, not as i say: Grounding language in robotic affordances,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.703482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b47c4bd5-ec5d-4cdd-bab6-ae1d7e158fde · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Deep reinforcement learning for autonomous driving: A survey,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.706341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef33b292-4800-4b63-bfa3-6f1a2acdae19 · outbound

This paper cites an unresolved cited work.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.709607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6476ecd0-3add-4a76-a879-4516425b6acf · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Playing Atari with Deep Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.712578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6474f101-b9b8-4547-a12a-5eb0438ff6c0 · outbound

This paper cites Deep reinforcement learning with a natural language action space,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Deep reinforcement learning with a natural language action space,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.715612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe18c234-1170-4c42-b687-d748aeb8cc35 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.718544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a6227f4-fb23-49db-8ae6-f4b21179d760 · outbound

This paper cites TextWorld: A Learning Environment for Text-based Games.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation TextWorld: A Learning Environment for Text-based Games

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.721773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0aee153-af93-42ad-9b0a-edd265a90f3b · outbound

This paper cites Deep reinforcement learning with a natural language action space,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Deep reinforcement learning with a natural language action space,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.724903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef56f60-6423-44db-ad7b-2efad950eb89 · outbound

This paper cites Language model- in-the-loop: Data optimal approach to learn-to-recommend actions in text games,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Language model- in-the-loop: Data optimal approach to learn-to-recommend actions in text games,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.727974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac902980-18ba-4335-99da-75ad06afc8a6 · outbound

This paper cites Language models are unsupervised multitask learners,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Language models are unsupervised multitask learners,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.730884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2c8db3-63e8-4cf0-b434-b79c0ee95e2d · outbound

This paper cites A primer in bertology: What we know about how bert works,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A primer in bertology: What we know about how bert works,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.736731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8600aa5f-320b-4fa3-ba64-f06bd0e88f33 · outbound

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

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Do Prompt-Based Models Really Understand the Meaning of their Prompts?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.739518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef41a755-99dc-471d-969c-2c3d63e50a19 · outbound

This paper cites Experience grounds language,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Experience grounds language,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.729321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42ad3ecc-a77e-4002-9de2-2aa4966dc38b · outbound

This paper cites Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.720428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1c35c2b-a01f-41bc-8a25-46b9b71bc5ce · outbound

This paper cites Word meaning in minds and machines,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Word meaning in minds and machines,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.711049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2303a559-3cc8-43f1-b208-7a1d70c407aa · outbound

This paper cites Keep CALM and explore: Language models for action generation in text-based games,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Keep CALM and explore: Language models for action generation in text-based games,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.700608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74697655-50b7-46d1-a88f-38b21f282944 · outbound

This paper cites Graph constrained reinforcement learning for natural language action spaces,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Graph constrained reinforcement learning for natural language action spaces,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.690226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28c32f13-3b4b-4be1-a668-81efbaebf0d8 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Decision transformer: Reinforcement learning via sequence modeling,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.680014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31984193-9605-43c6-9c98-a2317855b253 · outbound

This paper cites Offline reinforcement learning as one big sequence modeling problem,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Offline reinforcement learning as one big sequence modeling problem,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.668850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e2bbb5c-4e4b-41ef-8234-c39ce66fe27f · outbound

This paper cites Deep reinforcement learning with transformers for text adventure games,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Deep reinforcement learning with transformers for text adventure games,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.657672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93dcfc35-282e-4bef-ade6-6496f8ff10df · outbound

This paper cites Stabilizing Transformers for Reinforcement Learning.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Stabilizing Transformers for Reinforcement Learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.771086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3fc63cc-f047-47e1-aaca-87c67bdbe092 · outbound

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

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Training language models to follow instructions with human feedback,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.646600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c12715a-3fbe-420f-9f5e-ddd2c9b28a21 · outbound

This paper cites Can Wikipedia Help Offline Reinforcement Learning?.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Can Wikipedia Help Offline Reinforcement Learning?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.777741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a49f56a5-3f0a-44d5-9618-b5b4adc6b0c8 · outbound

This paper cites Prompts and pre-trained language models for offline reinforcement learning,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Prompts and pre-trained language models for offline reinforcement learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.634428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07c1cea5-58bf-4e8e-a16e-84c7964531ee · outbound

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

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.783953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e310b8-2eee-4e53-8a23-b7349272cece · outbound

This paper cites Multi-stage episodic control for strategic exploration in text games,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Multi-stage episodic control for strategic exploration in text games,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.623499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2fa867d-6760-460c-8d0b-33e22240fb2c · outbound

This paper cites Pre-trained language models for interactive decision-making,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Pre-trained language models for interactive decision-making,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.612092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02aca0b1-f849-45b3-b82d-6f39c73625c3 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.792626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c632d69-1e4f-40f4-84bf-14da87bb2bdd · outbound

This paper cites UNIFIEDQA: Crossing format boundaries with a single QA system,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation UNIFIEDQA: Crossing format boundaries with a single QA system,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.593610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1cf03de-1248-48db-9a09-1afa56e21d3e · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation SQuAD: 100,000+ questions for machine comprehension of text,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.582333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f818b33c-2cf6-45ff-a94a-514e921e0662 · outbound

This paper cites A Survey of Data Augmentation Approaches for NLP.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A Survey of Data Augmentation Approaches for NLP

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.800883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4338e8-2599-426f-bef4-836673d9292f · outbound

This paper cites Improving language understanding by generative pre-training,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Improving language understanding by generative pre-training,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.803882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7f2f88-6194-4e02-8703-dc6a98b735f2 · outbound

This paper cites Insights into Pre-training via Simpler Synthetic Tasks.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Insights into Pre-training via Simpler Synthetic Tasks

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:57:26.124450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49228761-3256-43ec-91ed-a66e4b6f339a · outbound

This paper cites Feature diversity in self-supervised learning.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Feature diversity in self-supervised learning

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:57:26.111962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2209df2-7498-4ed4-8c9d-23ce6917a6b3 · outbound

This paper cites Neural Text Generation with Unlikelihood Training.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Neural Text Generation with Unlikelihood Training

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.812220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 251ad682-726f-4c7f-9f00-9ec92564436a · outbound

This paper cites Multi-agent text-based hanabi challenge,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Multi-agent text-based hanabi challenge,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.565818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2f97bf7-a60a-4895-8080-34a78dd2ec95 · outbound

This paper cites A Generalist Hanabi Agent.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A Generalist Hanabi Agent

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:57:26.090818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f3ca4d3-733a-4799-8df0-4a65d639a4af · outbound

This paper cites Large language model based multi-agents: A survey of progress and challenges,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Large language model based multi-agents: A survey of progress and challenges,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.555179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d9a6449-0a6f-4575-8ad5-5b7cb95c522c · outbound

This paper cites Evaluating multi-agent coordination abilities in large language models,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Evaluating multi-agent coordination abilities in large language models,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.544867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b12239ad-574f-4244-9384-76c7c31c72ad · outbound

This paper cites How FaR Are Large Language Models From Agents with Theory-of-Mind?.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.826043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb07161-c6d0-40f4-810c-0afd3326a2da · outbound

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

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Training language models to follow instructions with human feedback,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.534074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96a99fc2-36e7-4016-aa07-830a6b1c9e61 · outbound

This paper cites Mistral 7b,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Mistral 7b,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.831691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f8fd37-2e2d-4214-a70d-3970babd60d1 · outbound

This paper cites The Hanabi Challenge: A New Frontier for AI Research.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation The Hanabi Challenge: A New Frontier for AI Research

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.834287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37719bc9-75bf-4487-9dd2-1c8f1ff19d36 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Mastering the game of go with deep neural networks and tree search,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.517403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 810903a3-5980-4233-9248-a7f1f5701d00 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Proximal Policy Optimization Algorithms

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.839855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03cdbfd9-574f-4aed-9ffa-eeba42c9281c · outbound

This paper cites Dher: Hindsight experience replay for dynamic goals,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Dher: Hindsight experience replay for dynamic goals,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.505960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e407e2d-f329-4519-8bfb-44b1b3e0fc9b · outbound

This paper cites Learning how to active learn: A deep reinforcement learning approach,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Learning how to active learn: A deep reinforcement learning approach,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.495906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bc3f910-a86a-46a8-bf47-3c1862fade7b · outbound

This paper cites Counting to Explore and Generalize in Text-based Games.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Counting to Explore and Generalize in Text-based Games

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.847852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3545c3f8-e91f-4dfe-bd1a-23e547cb23a7 · outbound

This paper cites Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn Families of Text-Based Adventure Games.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn Families of Text-Based Adventure Games

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:57:26.042534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df2b5e52-020f-49ac-a494-8b46855476cf · outbound

This paper cites Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:57:26.028761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45292092-327d-420c-8d02-0b444129f8c7 · outbound

This paper cites Scienceworld: Is your agent smarter than a 5th grader?.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Scienceworld: Is your agent smarter than a 5th grader?

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.486142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f19e6102-38d3-4d30-9bf5-413bfc7d9d6d · outbound

This paper cites A survey of text games for reinforcement learning informed by natural language,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation A survey of text games for reinforcement learning informed by natural language,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.477156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e369eb78-7ab2-4ed3-a00a-c2645eb68be8 · outbound

This paper cites Climbing towards NLU: On meaning, form, and understanding in the age of data,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Climbing towards NLU: On meaning, form, and understanding in the age of data,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.861163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b2f4b0-fc33-417f-b14a-a80b767c542c · outbound

This paper cites Deep reinforcement learning with a natural language action space,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Deep reinforcement learning with a natural language action space,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.468271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58b7e06e-5468-4287-a859-5842c20f1dcb · outbound

This paper cites Algorithmic improvements for deep reinforcement learning applied to interactive fiction,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Algorithmic improvements for deep reinforcement learning applied to interactive fiction,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.458881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa6701af-8e4d-419b-a167-f19040585558 · outbound

This paper cites Deep reinforcement learning with transformers for text adventure games,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Deep reinforcement learning with transformers for text adventure games,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.449087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fea14ce-899b-4872-a737-1a831e8227a8 · outbound

This paper cites Monte-carlo planning and learning with language action value estimates,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Monte-carlo planning and learning with language action value estimates,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.440049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 182a3617-228c-4726-a7c9-e2c15931e77f · outbound

This paper cites Keep CALM and explore: Language models for action generation in text-based games,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Keep CALM and explore: Language models for action generation in text-based games,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.430204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49822e4e-7a1f-4669-ab56-c6d555cc429e · outbound

This paper cites Pre-trained Language Models as Prior Knowledge for Playing Text-based Games.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Pre-trained Language Models as Prior Knowledge for Playing Text-based Games

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.877437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b0aad6-209d-4069-ac12-f6d82f7820b0 · outbound

This paper cites Does the chimpanzee have a theory of mind?.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Does the chimpanzee have a theory of mind?

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.420024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 400c9cb7-2f4c-443b-9edd-da91eb29598d · outbound

This paper cites Machine theory of mind,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Machine theory of mind,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.410755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c908b8d-0609-4f01-afd6-24c7428bea7e · outbound

This paper cites Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.885019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f537fad7-92a5-4eb4-bffa-3f8b6c3984c1 · outbound

This paper cites Human-level play in the game of <i>diplomacy</i> by combining language models with strategic 47 reasoning,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Human-level play in the game of <i>diplomacy</i> by combining language models with strategic 47 reasoning,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.888299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec57a18e-ad8b-46ce-8e4e-58f0d4759b16 · outbound

This paper cites Bayesian action decoder for deep multi-agent reinforcement learning,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Bayesian action decoder for deep multi-agent reinforcement learning,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.395932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e734cbf3-4a1c-4047-b358-595cf6d9fffb · outbound

This paper cites Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.894173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae14c5eb-4fb7-4658-b1db-c4a21c82ddaf · outbound

This paper cites Continuous coor- dination as a realistic scenario for lifelong learning,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Continuous coor- dination as a realistic scenario for lifelong learning,

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.387133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3cf8de4-a3ad-40f9-b150-2169b1b8b9dd · outbound

This paper cites Trajectory diversity for zero-shot coordination,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Trajectory diversity for zero-shot coordination,

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.377500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 525df7e4-b33d-448d-9336-65dc84053401 · outbound

This paper cites Off- belief learning,.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Off- belief learning,

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:26.369015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers