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Doing What They Say, Not What They Reason: Locating the Faithfulness Gap in LLM Agents

cs.AI updates on arXiv.org·
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A study investigates whether large language model (LLM) agents act according to their stated reasoning, using a Texas Poker simulator to analyze discrepancies between reasoning and actions. The findings reveal a 'faithfulness gap' where reasoning and actions diverge, raising concerns about LLM reliability in social simulations.

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

Doing What They Say, Not What They Reason: Locating the Faithfulness Gap in LLM Agents | AI Crypto Daily Wire