Papers by Anthony Reyna
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models (2025.findings-naacl)
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| Challenge: | Large Language Models (LLMs) have demonstrated emergent common-sense reasoning and Theory of Mind (ToM) capabilities, making them promising candidates for developing coordination agents. |
| Approach: | They propose to use Large Language Models (LLMs) to analyze coordination models in Pure Coordination settings where agents must cooperate to maximize gains. |
| Outcome: | The proposed benchmark evaluates LLMs through two distinct tasks: Agentic Coordination and Coordination Question Answering. |