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Jean-Baptiste Gaya

Jean-Baptiste Gaya has 2 papers in our library, in 2023, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Dieuwke Hupkes, Emmanuel Dupoux, Gregoire Mialon.

2 papers in our library · 2023

OpenAlex · h-index 2 · 9 works · 23 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 86 times in our library · ⭐ Paper Stars ranking: #7827

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

🔬Institut Systèmes Intelligents et de RobotiqueParis · France2021–2024 · 3 papers🎓Sorbonne UniversitéParis · France2021–2024 · 3 papers🔬Centre National de la Recherche ScientifiqueParis · France2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards (2023 · 90 citations)
    Reinforcement learning, including RLHF, aligns foundation models using proxy rewards that only approximate what users really want, and people disagree about what a good output is.
  2. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models (2023 · 15 citations)
    LLMs often seem to understand the physical world, but it is hard to tell whether they build coherent internal scene representations.

 Co-authors here

9 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 86 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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