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R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling
提出R2IF框架，用复合奖励让大模型函数调用时推理与决策对齐，提升可解释性。
arXiv:2604.20316v2 Announce Type: replace Abstract: Function calling empowers large language models (LLMs) to interface with external tools, yet exist…