Hammer: Robust Function-Calling for On-Device Language Models via Function Masking
Paper • 2410.04587 • Published • 2
Tool Use
Papers about Tool Use / Function Calling
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API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
Paper • 2402.15491 • Published • 15 -
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
Paper • 2406.18518 • Published • 25 -
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Paper • 2504.03601 • Published • 18 -
TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Paper • 2510.01179 • Published • 28 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 6 -
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Paper • 2407.00121 • Published -
ToolACE: Winning the Points of LLM Function Calling
Paper • 2409.00920 • Published • 2 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 102 -
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Paper • 2508.20453 • Published • 63 -
The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution
Paper • 2510.25726 • Published • 46 -
TaskCraft: Automated Generation of Agentic Tasks
Paper • 2506.10055 • Published • 32 -
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Paper • 2509.01055 • Published • 81 -
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
Paper • 2509.24002 • Published • 180 -
Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution
Paper • 2509.21072 • Published • 16