Research paper on improving function calling (tool use) in large language models for financial question-answering tasks. Presents data-driven techniques for enhancing model performance in selecting and using external tools.
Research
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
Researchers improve LLM performance in selecting and executing financial tools through data-driven optimization of function calling mechanisms.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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