Xanh Ho

17 papers A* 1B 1C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts.
AAAI
Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa
2026 J jnl
SciClaimEval: Cross-modal Claim Verification in Scientific Papers.
CoRR
Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Tian Cheng Xia, Florian Boudin, André Greiner-Petter, Akiko Aizawa
2025 J jnl
Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts.
CoRR
Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa
2025 J jnl
LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA.
CoRR
Xanh Ho, Jiahao Huang, Florian Boudin, Akiko Aizawa
2025 — conf
Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers.
EMNLP (Findings)
Xanh Ho, Sunisth Kumar, Yun-Ang Wu, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa
2025 J jnl
Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers.
CoRR
Xanh Ho, Sunisth Kumar, Yun-Ang Wu, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa
2024 J jnl
A Survey of Pre-trained Language Models for Processing Scientific Text.
CoRR
Xanh Ho, Anh-Khoa Duong Nguyen, Tuan-An Dao, Junfeng Jiang, Yuki Chida, Kaito Sugimoto, Huy Quoc To, Florian Boudin, Akiko Aizawa
2024 J jnl
MoreHopQA: More Than Multi-hop Reasoning.
CoRR
Julian Schnitzler, Xanh Ho, Jiahao Huang, Florian Boudin, Saku Sugawara, Akiko Aizawa
2023 — conf
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering.
EACL (Findings)
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa
2023 J jnl
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering.
CoRR
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa
2023 C conf
Solving Label Variation in Scientific Information Extraction via Multi-Task Learning.
PACLIC
Dong Pham, Xanh Ho, Quang-Thuy Ha, Akiko Aizawa
2023 J jnl
Solving Label Variation in Scientific Information Extraction via Multi-Task Learning.
CoRR
Dong Pham, Xanh Ho, Quang-Thuy Ha, Akiko Aizawa
2022 J jnl
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension.
CoRR
Xanh Ho, Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa
2022 — conf
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
AACL/IJCNLP (2)
Xanh Ho, Saku Sugawara, Akiko Aizawa
2022 J jnl
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
CoRR
Xanh Ho, Saku Sugawara, Akiko Aizawa
2020 B conf
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.
COLING
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa
2020 J jnl
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.
CoRR
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa