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Large Language ModelsAI in HealthcarearXiv cs.LGPublished: Apr 9, 2026, 13:00 JST

Researchers discover 'template collapse' in AI agents that traditional metrics miss, proposing mutual information as a better measure of reasoning quality.

Researchers discover 'template collapse' in AI agents that traditional metrics miss, proposing mutual information as a better measure of reasoning quality.

RL training of multi-turn LLM agents exhibits inherent instability where reasoning quality directly impacts task performance

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