Xanh Ho

According to our database, Xanh Ho authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

CoRR, February, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA.

Xanh Ho, Jiahao Huang, Florian Boudin, Akiko Aizawa

CoRR, April, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

MoreHopQA: More Than Multi-hop Reasoning.

Julian Schnitzler, Xanh Ho, Jiahao Huang, Florian Boudin, Saku Sugawara, Akiko Aizawa

CoRR, 2024

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

2023

Solving Label Variation in Scientific Information Extraction via Multi-Task Learning.

Dong Pham, Xanh Ho, Quang-Thuy Ha, Akiko Aizawa

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering.

Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension.

Xanh Ho, Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa

CoRR, 2022

How Well Do Multi-hop Reading Comprehension Models Understand Date Information?

Xanh Ho, Saku Sugawara, Akiko Aizawa

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2020

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa

Proceedings of the 28th International Conference on Computational Linguistics, 2020