About

Hi! 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, 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 looking for research interns to work with me on large language models (see below), drop me an email if you are interested.

Email: cartusguo AT gmail.com

[Github] [Linkedin] [Google Scholoar] [Twitter]

Research

I am generally interested in natural language processing and machine learning. Current interests are in several aspects around large language models:

• Factuality: method, evaluation and multimodality
• Multi-step Reasoning: math and logic
• Retrieval-Augment: knowledge-intensive tasks
• Language Model as Agent: planning, action, tools and memory

News

• 2023.10: Glad to serve as Area Chair (AC) for COLING 2024
• 2023.06: Glad to serve as Area Chair (AC) for EMNLP 2023
• 2023.06: Glad to serve as Senior Program Committee (SPC) for AAAI 2024
• 2022.06: Glad to serve as Area Chair (AC) for EMNLP 2022
• 2022.06: Glad to serve as Senior Program Committee (SPC) for AAAI 2023
• 2021.12: Glad to serve as Senior Program Committee (SPC) for IJCAI 2022

Publications

^* denotes equal contribution, ^# denotes corresponding author.

• AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web

  Michael Schlichtkrull^*, Zhijiang Guo^* and Andreas Vlachos

  NeurIPS 2023

  [Paper] [Code] [Dataset]

• Multimodal Automated Fact-Checking: A Survey

  Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl and Andreas Vlachos

  Findings of EMNLP 2023

  [Paper] [Code]

• TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models

  Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu

  EMNLP 2023

  [Paper] [Dataset]

• Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis

  Xuming Hu, Zhijiang Guo^#, Zhiyang Teng, Irwin King and Philip S. Yu

  ACL 2023

  [Paper]

• $MR^2$: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media

  Xuming Hu, Zhijiang Guo^#, Junzhe Chen, Lijie Wen and Philip S. Yu

  SIGIR 2023

  [Paper] [Code] [Dataset]

• Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence

  Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen and Philip S. Yu

  SIGIR 2023

  [Paper]

• A Survey on Automated Fact-Checking

  Zhijiang Guo^*, Michael Schlichtkrull^*, Andreas Vlachos

  TACL 2022

  [Paper] [Code] [Slides] [Poster] [Video]

• CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking

  Xuming Hu^*, Zhijiang Guo^*, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu

  NAACL 2022

  [Paper] [Code] [Dataset] [Slides]

• METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets

  Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

  NeurIPS 2022

  [Paper] [Code] [Dataset]

• Scene Graph Modification as Incremental Structure Expanding

  Xuming Hu^*, Zhijiang Guo^*, Yu Fu, Lijie Wen, Philip S. Yu

  COLING 2022

  [Paper] [Code] [Dataset]

• FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

  Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal

  NeurIPS 2021

  [Paper] [Code] [Website] [Dataset] [Talk]

• Uncovering Main Causalities for Long-tailed Information Extraction

  Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu

  EMNLP 2021

  [Paper] [Code] [Talk]

• Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

  Yan Zhang^*, Zhijiang Guo^*, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing

  EMNLP 2020

  [Paper] [Code] [Talk] [Slides]

• Learning Latent Forests for Medical Relation Extraction

  Zhijiang Guo^*, Guoshun Nan^*, Wei Lu, Shay B. Cohen

  IJCAI 2020

  [Paper] [Code] [Talk] [Slides] [PPT] [Poster]

• Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

  Guoshun Nan^*, Zhijiang Guo^*, Ivan Sekulic, Wei Lu

  ACL 2020

  [Paper] [Code] [Talk] [Slides]

• Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  Zhijiang Guo^*, Yan Zhang^*, Zhiyang Teng, Wei Lu

  TACL 2019

  [Paper] [Code] [Talk] [Slides]

• Attention Guided Graph Convolutional Networks for Relation Extraction

  Zhijiang Guo^*, Yan Zhang^*, Wei Lu

  ACL 2019

  [Paper] [Code] [Talk] [Slides]

• Better Transition-Based AMR Parsing with a Refined Search Space

  Zhijiang Guo, Wei Lu

  EMNLP 2018

  [Paper] [Code] [Poster]

Preprints

• Do Large Language Models Know about Facts?

  Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S Yu, Zhijiang Guo

  Preprint

  [Paper]

• DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning

  Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo^#, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang

  Preprint

  [Paper]

• Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation with Contrastive Stepwise Decoding

  Ying Su, Xiaojin Fu, Mingwen Liu, Zhijiang Guo

  Preprint

• Give Me More Details: Improving Real-World Fact-checking with Latent Retrieval

  Xuming Hu^*, Zhijiang Guo^*, Guanyu Wu, Lijie Wen and Philip S. Yu

  Preprint

  [Paper]

• GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features

  Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes

  Preprint

  [Paper] [Code]

Thesis

• Learning with Graphs in Natural Language Processing

  Zhijiang Guo

  PhD Thesis

  [Paper] [Slides]

Academic Services

• Area Chair: COLING 2024 (Machine Learning), EMNLP 2023 (NLP Application), EMNLP 2022 (Semantics)
• Senior Program Committee: AAAI 2024, AAAI 2023, IJCAI 2021
• Program Committee: ACL ARR/ACL/EMNLP/NAACL/EACL/COLING/NeurIPS/ICLR/AAAI/IJCAI
• Journal: Machine Learning/Computational Linguistics/TACL/TKDE/TALLIP/TASLP/TOIS

Workshops Organization

• EMNLP 2021 Workshop: The Fourth Fact Extraction and VERification (FEVER)
• ACL 2022 Workshop: The Fifth Fact Extraction and VERification (FEVER)
• EACL 2023 Workshop: The Sixth Fact Extraction and VERification (FEVER)

Research Mentoring

• Andrew Georgiou: Master at Cambridge, to Google
• Caiqi Zhang: Master at Cambridge, to PhD at Cambridge
• Henry Caushi: Undergrad at Cambridge
• Xuming Hu: PhD at Tsinghua
• Jing Xiong: Master at SYSU
• Ying Su: PhD at HKUST
• Haochen Tan: PhD at CityU
• Ziyi Shou: PhD at HKUST
• William Liu: PhD at Cambridge

Education

• The University of Edinburgh, 2019-2020

  Computer Science, Advisor: Prof. Shay Cohen

• Singapore University of Technology and Design, 2016-2020

  Computer Science, Advisor: Prof. Wei Lu

• Sun Yat-sen University, 2010-2014