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The implementation for the paper: From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

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DRAFT

The implementation for the paper: From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

How to run the code

  1. Download ToolBench dataset from the Google Drive.
  2. Run DRAFT to get revised tool documentation:

    python DRAFT.py

  3. Run ToolBench_DFSDT to examine the effectiveness of DRAFT:

    python ToolBench_DFSDT -model_name gpt-4o-2024-08-06 -data_type G3 -method DRAFT

Environment

Our experimental environment is shown below:

openai version: 0.28.0
numpy version: 1.26.4
pandas version: 2.2.2
torch version: 2.3.1

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The implementation for the paper: From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

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