Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. - Xanh Ho; Anh-Khoa Duong Nguyen; Saku Sugawara; Akiko Aizawa (COLING, 2020)

How Well Do Multi-hop Reading Comprehension Models Understand Date Information? - Xanh Ho; Saku Sugawara; Akiko Aizawa (AACL/IJCNLP (2), 2022)

A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension. - Xanh Ho; Johannes Mario Meissner; Saku Sugawara; Akiko Aizawa (CoRR, 2022)

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. - Xanh Ho; Anh-Khoa Duong Nguyen; Saku Sugawara; Akiko Aizawa (EACL (Findings), 2023)

Solving Label Variation in Scientific Information Extraction via Multi-Task Learning. - Dong Pham; Xanh Ho; Quang-Thuy Ha; Akiko Aizawa (PACLIC, 2023)

A Survey of Pre-trained Language Models for Processing Scientific Text. - Xanh Ho; Anh-Khoa Duong Nguyen; Tuan-An Dao; Junfeng Jiang; Yuki Chida; Kaito Sugimoto; Huy Quoc To; Florian Boudin; Akiko Aizawa (CoRR, 2024)

MoreHopQA: More Than Multi-hop Reasoning. - Julian Schnitzler; Xanh Ho; Jiahao Huang; Florian Boudin; Saku Sugawara; Akiko Aizawa (CoRR, 2024)

LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA. - Xanh Ho; Jiahao Huang; Florian Boudin; Akiko Aizawa (CoRR, 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 (CoRR, 2025)