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Research on the Mechanism of Disconnection Between Proxy Cognition and Action in Tool Use

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Abstract generation in progress
AIMPACT message, May 17 (UTC+8), this interpretability paper focuses on tool usage agents, detecting hidden states to find that models often recognize when to call tools, but actual calls fail, with mismatch rates reaching 26%-54%. The issue is entirely centered on the transition from cognition to action, rather than cognition itself. Internal detection directions can be decoded, but the final token mechanism of later layers causes signal rotation, almost orthogonal to the generated action. The research aims to predict the effectiveness of intervention measures, pointing out that common attributions such as insufficient prompting or training may overlook the geometric structure of later layers, providing a reasonable explanation for the performance ceiling in tool usage prompt A/B testing. (Source: AiHot)
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