Shuaiyi Nie — accepted AI-conference papers

2026

Exploring the System 1 Thinking Capability of Large Reasoning Models

Wenyuan Zhang, Shuaiyi Nie, Xinghua Zhang, Zefeng Zhang, Tingwen Liu

IJCAI 2026

This paper explores the system 1 thinking capability of Large Reasoning Models (LRMs), the intuitive ability to respond efficiently with minimal token usage. While existing LRMs rely on long-chain reasoning and excel at complex tasks, their system 1 thinking ability remains largely underexplored. Th

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2025

Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing

Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng, Zefeng Zhang, Xinghua Zhang, Yongquan He +1

EMNLP 2025

Large language model (LLM) role-playing has gained widespread attention. Authentic character knowledge is crucial for constructing realistic LLM role-playing agents. However, existing works usually overlook the exploration of LLMs’ ability to detect characters’ known knowledge errors (KKE) and unkno

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