杨孝程
杨孝程 Yang Xiao Cheng

Master’s Student

About Me

Xiaocheng Yang is a Master’s student at University of Illinois Urbana-Champaign (UIUC) and a research assistant at the UIUC ConvAI Lab under the supervision of Professor Gokhan Tur and Professor Dilek Hakkani-Tür. His research interests include conversational AI, AI agents and machine reasoning.

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Interests
  • Natural Language Processing
  • Conversational AI
  • AI Agents
  • Machine Reasoning
Education
  • MS Computer Science

    University of Illinois Urbana-Champaign

  • BS Computer Science

    New York University Shanghai

My Research

I am currently a Master’s student in Computer Science at University of Illinois at Urbana-Champaign (UIUC), supervised by Professor Gokhan Tur and Professor Dilek Hakkani-Tür. Previously, I was an undergraduate student at New York University Shanghai, majoring in Computer Science and minoring in Mathematics, supervised by Professor Yik-Cheung (Wilson) Tam.

At New York University Shanghai, I conducted research on neural symbolic methods for boosting large language models’ reasoning ability and investigated the advantage of using Prolog langauge (a logic programming langauge) as the generation output in terms of data augmentation for finetunining. After that, I explored how large language models could be used to solve dialogua state tracking, which is a key component in task-oriented dialogues, and witnessed a major improvement compared with previous methods.

Now I have joined the ConvAI Lab at UIUC to explore how large language models could reshape the form of conversational AI. My research interest primarily lies in AI Agents and machine reasoning. If you are interested in my research demonstrated below or would like to collaborate, please feel free to reach out to me 😃!

Featured Publications
Recent Publications
(2025). EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
(2025). MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
(2025). Goal Alignment in LLM-Based User Simulators for Conversational AI.
(2025). ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents. Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology.
Recent News

At NAACL 2024 Now

I am at NAACL 2024 now with my teammate.