toolrm-outcome-reward-tool-calling

【数据与研究】Specialized outcome reward models (1.7B-14B) for evaluating tool-calling performance in LLMs. Addresses the critical gap in reward modeling where general-purpose models miss key signals of effective tool use. Enables better Best-of-N sampling, data filtering, and RL-based policy training through FC-RewardBench evaluation framework.

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