Papers with cluster entropy

1 papers
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures (2026.eacl-long)

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Challenge: Game-theoretic interactions between agents with large language models (LLMs) have revealed many emergent capabilities, yet the linguistic diversity of these interactions has not been quantified.
Approach: They propose a metric to quantify the effectiveness of language use within multi-agent systems across different game-theoretic interactions.
Outcome: The proposed metric measures the effectiveness of language use within multi-agent systems across game-theoretic interactions.

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