Papers by Julien Aubert-Béduchaud

2 papers
ACL-rlg: A Dataset for Reading List Generation (2025.coling-main)

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Challenge: Existing tools for searching the literature return an overwhelming number of results, making familiarization process daunting and inefficient.
Approach: They propose to use ACL-rlg as the largest open expert-annotated reading list dataset to help researchers navigate key literature.
Outcome: The proposed dataset outperforms existing search engines and indexing methods and shows signs of data contamination.
Towards Reliable Paper Contributions Annotation in the ACL Rolling Review (2026.findings-acl)

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Challenge: Identifying the types of contributions an article makes can help readers grasp its significance.
Approach: They propose to use a typology to categorize articles by their contributions to improve review quality and fairness.
Outcome: The ACL Rolling Review (ARR) introduced a typology requiring authors to specify their contributions to improve review quality and fairness.

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