2025
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
EMNLP 2025
Large language models (LLMs) have demonstrated strong reasoning and tool-use capabilities, yet they often fail in real-world tool-interactions due to incorrect parameterization, poor tool selection, or misinterpretation of user intent. These issues often stem from an incomplete understanding of user