Sijia Cui — accepted AI-conference papers

2025

STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization

Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, bo xu +3

NeurIPS 2025poster

Preference-based reinforcement learning (PbRL) bypasses complex reward engineering by learning from human feedback. However, due to the high cost of obtaining feedback, PbRL typically relies on a limited set of preference-labeled samples. This data scarcity introduces two key inefficiencies: (1) the…

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2025

Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall

Sijia Cui, Aiyao He, Shuai Xu, Hongming Zhang, Yanna Wang, Qingyang Zhang +2

EMNLP 2025

Function calling enables large language models (LLMs) to interact with external systems by leveraging tools and APIs. When faced with multi-step tool usage, LLMs still struggle with tool selection, parameter generation, and tool-chain planning. Existing methods typically rely on manually designing t

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