Conference paper · 2025

The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models

Shishir G. Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, Joseph E. Gonzalez

VenueProceedings of the 42nd International Conference on Machine Learning
URLhttps://proceedings.mlr.press/v267/patil25a.html
TopicsReplicHAI / Agent Evals / 06 Tool use, function calling & MCP
Tagsagent-eval
pages48371-48392
publisherPMLR
volume267

Abstract

Measures: Function calling: single, parallel, multi-turn, agentic. Metric: AST/exec accuracy.

BibTeX

@inproceedings{patil_berkeley_2025,
	title = {The {Berkeley} {Function} {Calling} {Leaderboard} ({BFCL}): {From} {Tool} {Use} to {Agentic} {Evaluation} of {Large} {Language} {Models}},
	volume = {267},
	url = {https://proceedings.mlr.press/v267/patil25a.html},
	abstract = {Measures: Function calling: single, parallel, multi-turn, agentic. Metric: AST/exec accuracy.},
	publisher = {PMLR},
	author = {Patil, Shishir G. and Mao, Huanzhi and Yan, Fanjia and Ji, Charlie Cheng-Jie and Suresh, Vishnu and Stoica, Ion and Gonzalez, Joseph E.},
	year = {2025},
	keywords = {agent-eval},
	pages = {48371--48392},
}