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Florian Boudin

7 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

ACL-rlg: A Dataset for Reading List Generation

COLING 2025main

Familiarizing oneself with a new scientific field and its existing literature can be daunting due to the large amount of available articles. Curated lists of academic references, or reading lists, compiled by experts, offer a structured way to gain a comprehensive overview of a domain or a specific…

2025

Identifying Reliable Evaluation Metrics for Scientific Text Revision

ACL 2025long

Evaluating text revision in scientific writing remains a challenge, as traditional metrics such as ROUGE and BERTScore primarily focus on similarity rather than capturing meaningful improvements. In this work, we analyse and identify the limitations of these metrics and explore alternative evaluatio…

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

2024

CASIMIR: A Corpus of Scientific Articles Enhanced with Multiple Author-Integrated Revisions

COLING 2024main

Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively conveying research findings and ideas. In this article, we propose an original textual resource on the revision step of the…

Cited by 5SourcePDFScholar
2024

Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts

EMNLP 2024finding

Adapting keyphrase generation models to new domains typically involves few-shot fine-tuning with in-domain labeled data. However, annotating documents with keyphrases is often prohibitively expensive and impractical, requiring expert annotators. This paper presents silk, an unsupervised method desig…