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Benedictus Kent Rachmat

Benedictus Kent Rachmat has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Question answering; often with Takuya Nakamura, Thomas Gerald, Zhen Xu.

2 papers in our library · 2024–2026

OpenAlex · h-index 2 · 14 works · 10 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9911

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Laboratoire Interdisciplinaire des Sciences du NumériqueGif-sur-Yvette · France2023–2026 · 9 paperscurrent🎓Université Paris-SaclayGif-sur-Yvette · France2024–2026 · 6 paperscurrent🔬Centre National de la Recherche ScientifiqueParis · France2025–2026 · 3 paperscurrent🏢SchlumbergerParis · France2026 · 1 papercurrent🔬TAU: IA : vers des problèmes mieux posésSaclay · France2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksDecision Sciences · 1 workHistory and Philosophy of Science · 1 workInformation Systems and Management · 1 workArtificial Intelligence · 1 workComputer Science · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workQuestion answering · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment (2024 · 10 citations)
    Large conferences ask authors to fill in compliance checklists, but making sure those answers are accurate is hard to do at scale.
  2. Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity? (2026)
    The paper asks which kind of synthetic variation actually helps question answering models when labelled data is scarce.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 ExperimentarXiv:2411.03417Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.2024 · 10 citations
  2. QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yetBenedictus Kent Rachmat et al.2025 · 1 citation
  3. Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity?Workshop on Structured Linguistic Data and Evaluation (SLiDE)Benedictus Kent Rachmat, Thomas Gerald, Takuya Nakamura, et al.2026

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read).

Updated

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