Trajectory Planning On Toolbench
評価指標
Win rate
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Win rate | Paper Title | Repository |
|---|---|---|---|
| Attention Bucket | 71.5 | Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use | |
| GPT4-TOPGUN | 86.54 | SwissNYF: Tool Grounded LLM Agents for Black Box Setting | |
| GPT4- DFSDT | 70.4 | ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs |
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