toolrm-outcome-reward-tool-calling

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.

Independent GitHub snapshot · Automated classification · Original documentation governs