Researchers from multiple institutions, including Swarnadeep Bhar and Nicholas Asher, introduced COCORELI, a modular architecture that enforces missing information as a precondition for action, blocki…
Qin et al. introduced ToolLLM at ICLR 2024, enabling large language models to master 16,464 real-world REST APIs via ToolBench built from RapidAPI without human labels, using a depth-first search with…
Researchers deployed an automated pipeline to optimize skill descriptions for an enterprise AI agent, achieving 79.2% F1 accuracy versus 79.4% for manual tuning while reducing engineering effort per s…
Researchers have developed ToolSense, an open-source diagnostic framework that automatically generates three benchmarks to audit whether large language models truly understand their parametric tool kn…