Zhijiang Guo

cartusguo AT gmail.com. 雲在青天水在瓶

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White Cliffs of Dover

Hi! :clap: My name is Zhijiang Guo (郭志江). I am a Researcher at Huawei Noah’s Ark Lab and a Visiting Researcher at the University of Cambridge. Before that, I was a Postdoc at the Department of Computer Science and Technology at the University of Cambridge from 2020-2022, working with Prof. Andreas Vlachos. I am also a member of Trinity College.

I earned my PhD in Computer Science from SUTD in 2020, under the supervision of Prof. Wei Lu. I was a visiting student in ILCC at the University of Edinburgh from 2019-2020, working with Prof. Shay Cohen, Prof. Giorgio Satta, Prof. Frank Drewes and Prof. Johanna Björklund on Structured Prediction. I also learned a lot from Prof. Zhiyang Teng.

I am actively looking for strong and motivated students to join our group! Feel free to drop me an email if you are interested in PhD, RA, or Intern.

news

Sep 26, 2024 Four papers are accepted at NeurIPS 2024 (1 Oral) :tada:
Sep 20, 2024 Four papers are accepted at EMNLP 2024 (3 Main, 1 Findings) :tada:
Aug 19, 2024 Glad to serve as the Area Chair (AC) for ICLR 2025 :sparkles:
Jun 15, 2024 Glad to serve as the Area Chair (AC) for EMNLP 2024 :sparkles:

selected publications

  1. AutoPSV: Automated Process-Supervised Verifier
    Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, and Zhijiang Guo
    In NeurIPS, 2024
  2. MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
    Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, and Jiaya Jia
    In NeurIPS, 2024
  3. HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
    Chunlin Tian*, Zhan Shi*Zhijiang Guo, Li Li, and Chengzhong Xu
    In NeurIPS (Oral), 2024
  4. Knowledge Conflicts for LLMs: A Survey
    Rongwu Xu*, Zehan Qi*Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, and Wei Xu
    In EMNLP, 2024
  5. Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
    Yuxuan Yao*, Han Wu*Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, and Linqi Song
    In COLM, 2024
  6. ACL
    ProxyQA.png
    ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
    Haochen Tan*Zhijiang Guo*, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, and Linqi Song
    In ACL, 2024
  7. Do Large Language Models Know about Facts?
    Xuming Hu*, Junzhe Chen*, Xiaochuan Li*, Yufei Guo, Lijie Wen, Philip S. Yu, and Zhijiang Guo
    In ICLR (Spotlight), 2024
  8. AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
    Michael Schlichtkrull*Zhijiang Guo*, and Andreas Vlachos
    In NeurIPS, 2023
  9. A Survey on Automated Fact-Checking
    Zhijiang Guo*, Michael Schlichtkrull*, and Andreas Vlachos
    In TACL, 2022