Publications

Please see my Google Scholar profile for the full list of papers.

*: equal contribution

2026

Identifying Where Large Language Models Struggle in Answering Complex Questions
Xanh Ho, Florian Boudin, Saku Sugawara, Khoa Duong, Akiko Aizawa
GEM Workshop at ACL 2026
Reassessing Extractive QA Datasets at Scale: LLM-as-a-Judge and In-Depth Analyses
Xanh Ho, Jiahao Huang, Florian Boudin, Akiko Aizawa
GEM Workshop at ACL 2026
[Paper] [Github]
SciClaimEval: Cross-modal Claim Verification in Scientific Papers
Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Tian Cheng Xia, Florian Boudin, André Greiner-Petter, Akiko Aizawa
LREC 2026
[Paper] [Website]
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
AAAI 2026
[Paper] [Github]

2025

Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers
Xanh Ho, Sunisth Kumar, Yun-Ang Wu, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa
Findings of EMNLP 2025
[Paper] [Github]
Decontextualization, Everywhere: A Systematic Audit on PeerQA
Xanh Ho, Tian Cheng Xia, Khoa Duong, Yun-Ang Wu, Ha-Thanh Nguyen, Akiko Aizawa
Agents4Science 2025 (AI-generated paper)
[Paper]
UnitMath: Unit-Aware Numerical Reasoning and Dimensional Consistency for Scientific Table Claims
Xanh Ho, Tian Cheng Xia, Khoa Duong, Yun-Ang Wu, Ha-Thanh Nguyen, Akiko Aizawa
Agents4Science 2025 (AI-generated paper)
[Paper]

2024

MoreHopQA: More Than Multi-hop Reasoning
Julian Schnitzler*, Xanh Ho*, Jiahao Huang*, Florian Boudin, Saku Sugawara, Akiko Aizawa
arXiv preprint, 2024
[Paper] [Github]
A Survey of Pre-trained Language Models for Processing Scientific Text
Xanh Ho*, Anh Khoa Duong Nguyen*, An Tuan Dao*, Junfeng Jiang*, Yuki Chida*, Kaito Sugimoto*, Huy Quoc To, Florian Boudin, Akiko Aizawa
arXiv preprint, 2024
[Paper] [Github]

2023

Analyzing the effectiveness of the underlying reasoning tasks in multi-hop question answering
Xanh Ho*, Anh-Khoa Duong Nguyen*, Saku Sugawara, Akiko Aizawa
Findings of EACL 2023
[Paper] [Github]
Solving Label Variation in Scientific Information Extraction via Multi-Task Learning
Dong Pham, Xanh Ho, Quang Thuy Ha, Akiko Aizawa
PACLIC 2023
[Paper] [Github]

2022

How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
Xanh Ho, Saku Sugawara, Akiko Aizawa
AACL | IJCNLP 2022
[Paper] [Github]
A survey on measuring and mitigating reasoning shortcuts in machine reading comprehension
Xanh Ho*, Johannes Mario Meissner*, Saku Sugawara, Akiko Aizawa
arXiv preprint, 2022
[Paper] [Github]

2020

Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa
COLING 2020
[Paper] [Github]