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sunhaoze

3 accepted papers

2025

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

ICLR 2025poster

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 addr…

2025

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

NeurIPS 2025poster

Large Language Models (LLMs) have shown remarkable capabilities in reasoning, exemplified by the success of OpenAI-o1 and DeepSeek-R1. However, integrating reasoning with external search processes remains challenging, especially for complex multi-hop questions requiring multiple retrieval steps. We…

Cited by 0SourceScholar
2025

SysBench: Can LLMs Follow System Message?

ICLR 2025poster

Large Language Models (LLMs) have become instrumental across various applications, with the customization of these models to specific scenarios becoming increasingly critical. System message, a fundamental component of LLMs, is consist of carefully crafted instructions that guide the behavior of mod…

Cited by 0SourcePDFScholar