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20242026
most citedAdaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline

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cs.CL2026

Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains

Zhonghang Yuan, Zhefan Wang, Fang Hu +7

Reinforcement learning with verifiable rewards (RLVR) has demonstrated promising potential to enhance the reasoning capabilities of large language models (LLMs) in domains such as…