| 2026 | AAAI | Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts. | Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa |
| 2026 | LREC | SciClaimEval: Cross-modal Claim Verification in Scientific Papers. | Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Tian Cheng Xia, Florian Boudin, Andr Greiner-Petter, Akiko Aizawa |
| 2025 | EMNLP | Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers. | Xanh Ho, Sunisth Kumar, Yun-Ang Wu, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa |
| 2023 | EACL | Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. | Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa |
| 2023 | PACLIC | Solving Label Variation in Scientific Information Extraction via Multi-Task Learning. | Dong Pham, Xanh Ho, Quang-Thuy Ha, Akiko Aizawa |
| 2022 | IJCNLP | How Well Do Multi-hop Reading Comprehension Models Understand Date Information? | Xanh Ho, Saku Sugawara, Akiko Aizawa |
| 2020 | COLING | Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. | Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa |