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Xanh Ho

3 accepted papers

2026

Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts

AAAI 2026technical

With the growing number of submitted scientific papers, there is an increasing demand for systems that can assist reviewers in evaluating research claims. Experimental results are a core component of scientific work, often presented in varying formats such as tables or charts. Understanding how robu

Cited by 0SourcePDFScholar
2025

Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers

EMNLP 2025

Scientific claim verification against tables typically requires predicting whether a claim is supported or refuted given a table. However, we argue that predicting the final label alone is insufficient: it reveals little about the model’s reasoning and offers limited interpretability. To address thi

2020

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

COLING 2020main

A multi-hop question answering (QA) dataset aims to test reasoning and inference skills by requiring a model to read multiple paragraphs to answer a given question. However, current datasets do not provide a complete explanation for the reasoning process from the question to the answer. Further, pre…