← all papers · overview

Facilitating Multi-turn Function Calling For Llms Via Compositional Instruction Tuning

Abstract

Large Language Models (LLMs) have exhibited significant potential in performing diverse tasks, including the ability to call functions or use external tools to enhance their performance. While current research on function calling by LLMs primarily focuses on single-turn interactions, this paper addresses the overlooked necessity for LLMs to engage in multi-turn function calling--critical for handl

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).