About

Hi! My name is Zhijiang Guo (郭志江). I am a visitor 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 the Trinity College.

I earned my PhD in Computer Science from SUTD in 2020, under the supervision of Prof. Wei Lu. I was a visting 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 learn a lot from Prof. Zhiyang Teng.

I am looking for research interns to work with me on reasoning with large language models, drop me an email if you are interested.

Email: cartusguo AT gmail.com

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

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

  Preprint

  [Paper]

• Multimodal Automated Fact-Checking: A Survey

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

  Preprint

  [Paper] [Code]

• Give Me More Details: Improving Real-World Fact-checking with Source Documents

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

  ACL 2023

  [Paper]

• 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

• 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]

Thesis

• Learning with Graphs in Natural Language Processing

  Zhijiang Guo

  PhD Thesis

  [Paper] [Slides]

Academic Services

• Area Chair: EMNLP 2022
• Senior Program Committee: AAAI 2023, IJCAI 2021
• Program Committee: ACL ARR/ACL/EMNLP/NAACL/EACL/COLING/NeurIPS/ICLR/AAAI/IJCAI
• Journal: Machine Learning/Computational Linguistics/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)

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