Unverified60% confidenceBenchmarkExact time
The Berkeley Function-Calling Leaderboard (BFCL) is one of the commonly used benchmarks in the industry for evaluating tool-calling capabilities.
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60%
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7/13/2026
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Related Claims
Unverified评估模型智能体能力的主流基准测试包括BFCL（Berkeley Function Calling Leaderboard）、AgentBench、SWE-Bench；编码能力评测集包括HumanEval、MBPP、LiveCodeBench73% similarUnverifiedBFCL is a commonly used benchmark for evaluating a model's function calling capability, covering scenarios such as simple functions, multi-function selection, and parameter filling.71% similarUnverifiedBFCL-v3 mainly evaluates the accuracy of models' function calls, including multi-turn and parallel call scenarios.63% similarUnverifiedBFCL is maintained by the Berkeley team, and its evaluation set is stratified by difficulty into categories including Simple, Multiple, Parallel, Parallel Multiple, and Relevance Detection.62% similarUnverifiedOn the two tool-learning benchmarks BFCL v4 and API Bank, SeTPO was compared against three classes of baselines: supervised fine-tuning, reinforcement learning, and distillation.58% similar
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