Trajectory Planning On Toolbench
Metrics
Win rate
Results
Performance results of various models on this benchmark
Model Name | 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 |
0 of 3 row(s) selected.