ToolBench

ToolBench is a benchmark containing approximately 47,000 tools used to evaluate the performance of large language models in tool retrieval tasks through various query types and probing methods.

Papers using ToolBench (12)

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning2025 · 14 citesCoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval2026ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs2026Adarubric: Task-adaptive Rubrics For LLM Agent Evaluation2026How Many Tools Should an LLM Agent See? A Chance-Corrected Answer2026LAM SIMULATOR: Advancing Data Generation For Large Action Model Training Via Online Exploration And Trajectory Feedback2025 · 1 citesCase-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use2026Agenther: Hindsight Experience Replay For LLM Agent Trajectory Relabeling2026Beyond Max Tokens: Stealthy Resource Amplification via Tool Calling Chains in LLM Agents2026Think-Augmented Function Calling: Improving LLM Parameter Accuracy Through Embedded Reasoning2026NaviAgent: Graph-Driven Bilevel Planning for Scalable Tool Orchestration2025Toolplanner: A Tool Augmented LLM For Multi Granularity Instructions With Path Planning And Feedback2024 · 4 cites