Title: Improving Tool Calling Accuracy for Large Language Models
Primary area: foundation or frontier models, including LLMs
Keywords: large language models, tool calling

Abstract: We introduce a novel method for improving LLM tool calling accuracy. Our approach uses a template-based generation instead of existing schema-constrained generation. Experiments on different datasets and LLM models demonstrate that our method improves F1 scores for tool names and parameters on most tests.