I am a PhD student in NUS IDS&SoC work with Bryan Hooi, See Kiong Ng and Luu Anh Tuan(NTU). Previously I visisted UCL WI group and AI centre. Before that I worked as a R&D engineer in natural language processing working with Prof. Zhang Richong (张日崇), affiliated with BDBC and Computer Science College in Beihang University. My current research interests lie in LLM applications on task-oriented dialogue system, reasoning and calibration capability of LLM, as well as the LLM-powered Agent.

🔥 News

  • 2024.03: 🎉 Two papers are accepted by ICLR 2024 LLM Agent Workshop and UoT paper is nominated as the best paper candidate.
  • 2024.01: 🎉 One paper is accepted by ICLR 2024.
  • 2023.12: 🎉 Two papers are accepted by AAAI 2024.

📝 Publications

Preprint/ICLR 2024@LLM Agent Workshop
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Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi.

ICLR 2024
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Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi

Preprint/ICLR 2024@LLM Agent Workshop
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MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Audaptabiulity, Ratiuonality and Cuollaboration.

Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutze, See-Kiong Ng, Jiashi Feng. (Co-first Author)

EMNLP 2018
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Syntax Encoding with Application in Authorship Attribution

Richong Zhang, Zhiyuan Hu, Hongyu Guo, and Yongyi Mao

🎖 Honors and Awards

  • NUS President’s Graduate Fellowship (PGF)

📖 Experience

  • 2023.01 - Now, PhD Student, Institute of Data Science/School of Computing, National University of Singapore.
  • 2022.09 - 2023.04, Research Visitor, UCL WI/AI Centre, University College London.
  • 2017.07 - 2022.09, Research Intern and R & D enginner, Big Data Big Brain, Beihang University, Beijing

💬 Invited Talks

  • 2023.12, MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Audaptabiulity, Ratiuonality and Cuollaboration, AgentX
  • 2023.12, Techniques in Longtext Generation, Docnote
  • 2023.08, Can LLMs Express Their Uncertainty?, University of Ottawa
  • 2023.02, The latest Development of Language Model, Beihang Unviersity

Services

  • Student Chair (2023-2024) NUS IDS NLP SIG
  • Organizator of “AAAI-2019 and AAAI-2022 Chinese Seminar”
  • Reviewer: ACL 2022 - Now, EMNLP 2022-Now, AACL2022-Now, COLING 2022 - Now, SIGIR23, KDD23, ARR from Dec 2023 - Now, NeurIPS 2024
  • TA: CS3244 Machine Learning, CS5228 Knowledge Discovery and Data Mining

Resource

  • Tips for Research (link). Quite useful material concluded by my supervisor.

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