Rui Cao (曹睿)

Assistant Professor
Information Systems Technology and Design Pillar
Singapore University of Technology and Design
[Email] | [Faculty Page] | [Google Scholar]

Selected Publications [Full List: Google Scholar]

• The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task
  Rui Cao, Yulong Chen, Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos
  Ninth FEVER at EACL 2026 [paper] [shared task]
• SciPaths: Forecasting Pathways to Scientific Discovery
  Eric Chamoun, Yizhou Chi, Yulong Chen, Rui Cao, Zifeng Ding, Michalis Korakakis, Andreas Vlachos
  ICML 2026, AI4Science workshop [paper] [data]
• Multimodal Claim Extraction for Fact-Checking
  Joycelyn Teo, Rui Cao, Zhenyun Deng, Zifeng Ding, Michael Schlichtkrull, Andreas Vlachos
  15th WASSA workshop at EACL 2026 [paper] [data&code]
• AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
  Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
  NeurIPS 2025 [paper] [data&code] [leaderboard]
• Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
  Weixing Wang*, Zifeng Ding*, Jingdong Gu, Rui Cao, Gerard de Melo, Christoph Meinel , Haojin Yang
  NeurIPS 2025 [paper] [code]
• Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
  Ziyu Ge*, Yuhao Wu*, Daniel Wai Kit, Roy Ka‑Wei Lee, Rui Cao☨
  IJCAI 2025 [paper] [data&code]
• Evaluating LLMs’ Assessment of Mixed-Context Hallucination Through the Lens of Summarization
  Siya Qi, Rui Cao, Yulan He, Zheng Yuan
  Findings of ACL 2025 [paper] [data&code]
• Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models
  Mingshan Hee*, Shivam Sharma*, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee
  Findings of EMNLP 2024 [paper]
• Modularized Networks for Few-shot Hateful Meme Detection
  Rui Cao, Roy Ka-Wei Lee, Jing Jiang
  WWW 2024 [paper] [code]
• Knowledge Generation for Zero-shot Knowledge-based VQA
  Rui Cao, Jing Jiang
  Findings of EACL 2023 [paper] [data&code]
• Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
  Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang
  ACM MM 2023 [paper] [code]
• MATK: The Meme Analytical Tool Kit
  Ming Shan Hee, Aditi Kumaresan, Nguyen Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee
  ACM MM 2023 [paper] [code]
• Modularized Zero-shot VQA with Pre-trained Models
  Rui Cao, Jing Jiang
  Findings of ACL 2023 [paper] [code]
• Prompting for Multimodal Hateful Meme Classification
  Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang.
  EMNLP 2022 [paper] [code]
• Disentangling Hate in Online Memes
  Rui Cao*, Ziqing Fan*, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang
  ACM MM 2021 [paper] [code]
• HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection
  Rui Cao, Roy Ka-Wei Lee
  COLING 2020 [paper] [code]