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Summary of ChangesHello @Yunnglin, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly upgrades the evaluation framework by integrating the Berkeley Function Calling Leaderboard v4 (BFCL-v4). This new benchmark provides a more comprehensive assessment of Large Language Models' function calling abilities, featuring expanded test categories and refined scoring mechanisms. The changes also involve updating dependencies, refactoring the existing BFCL-v3 implementation for better modularity, and enhancing documentation to guide users through the new evaluation process. Highlights
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Code Review
This pull request introduces support for the BFCL-v4 benchmark and refactors the existing BFCL-v3 implementation. A new adapter for v4 is added, along with necessary utility functions and updates to documentation. The v3 adapter is updated for compatibility with the new evaluation flow. The changes are well-structured. My feedback focuses on improving code style by moving local imports to the top of files for better readability and maintainability, and some minor optimizations and maintainability improvements in the new bfcl_v4_adapter.
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Code Review
This pull request introduces the BFCL-v4 benchmark, a significant enhancement for evaluating agentic and function-calling capabilities of LLMs. The changes are extensive, including new adapters, utility functions, and comprehensive documentation for both English and Chinese. The existing BFCL-v3 benchmark is also refactored to align with the new evaluation logic, and several core components like caching and logging are improved for better robustness and user experience. My review focuses on improving maintainability, the robustness of the caching mechanism, and the clarity of the documentation.
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