Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.12004 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912073805463552 |
|---|---|
| author | Yakovlev, Konstantin Nikolenko, Sergey Bout, Andrey |
| author_facet | Yakovlev, Konstantin Nikolenko, Sergey Bout, Andrey |
| contents | The recently proposed ToolkenGPT tool learning paradigm demonstrates promising performance but suffers from two major issues: first, it cannot benefit from tool documentation, and second, it often makes mistakes in whether to use a tool at all. We introduce Toolken+ that mitigates the first problem by reranking top $k$ tools selected by ToolkenGPT and the second problem with a special "Reject" option such that the model will generate a vocabulary token if "Reject" is ranked first. We demonstrate the effectiveness of Toolken+ on multistep numerical reasoning and tool selection tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_12004 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option Yakovlev, Konstantin Nikolenko, Sergey Bout, Andrey Computation and Language The recently proposed ToolkenGPT tool learning paradigm demonstrates promising performance but suffers from two major issues: first, it cannot benefit from tool documentation, and second, it often makes mistakes in whether to use a tool at all. We introduce Toolken+ that mitigates the first problem by reranking top $k$ tools selected by ToolkenGPT and the second problem with a special "Reject" option such that the model will generate a vocabulary token if "Reject" is ranked first. We demonstrate the effectiveness of Toolken+ on multistep numerical reasoning and tool selection tasks. |
| title | Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2410.12004 |