一作ACL 2026Poster· Natural Language Processing
R 2 IF : Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling
Aijia Cheng · Kailong Wang · Ling Shi · Yongxin Zhao
摘要
Function calling empowers large language models (LLMs) to interface with external tools, yet existing RL-based approaches suffer from misalignment between reasoning processes and tool-call decisions. We propose R2IF, a reasoning-aware RL framework for interpretable function calling, adopting a co...