--- title: "Bilal Piot — author profile and papers · Evaluation & benchmarks" description: "Bilal Piot: 2 papers on Elamur Research (2020–2023), h-index 25 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/bilal-piot/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bilal-piot/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bilal Piot # Bilal Piot Bilal Piot has 2 papers in our library, in 2020–2023, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Daniel Guo](https://md.research.elamur.ai/free/en/authors/daniel-guo/), [Charles Blundell](https://md.research.elamur.ai/free/en/authors/charles-blundell/), [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/). 2 papers in our library · 2020–2023 [OpenAlex](https://openalex.org/A5051968502) · [ORCID](https://orcid.org/0000-0003-3906-950X) · [Wikidata](https://www.wikidata.org/wiki/Q125899017) · [**h-index 25**](https://openalex.org/authors/A5051968502) · [93 works](https://openalex.org/works?filter=author.id:A5051968502) · [9,364 citations](https://openalex.org/works?filter=author.id:A5051968502&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/bilal-piot/#papers) · [🔗 Cited 2,809 times in our library](https://md.research.elamur.ai/free/en/authors/bilal-piot/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4386](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4386) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Bilal+Piot) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bilal+Piot) · [dblp](https://dblp.org/search?q=Bilal+Piot) · [ACL Anthology](https://aclanthology.org/search/?q=Bilal+Piot) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2016–2024 · 22 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Université de Lille** Lille · France 2014–2017 · 10 papers](https://md.research.elamur.ai/free/en/universities/universite-de-lille/) · [🔬**Centre de Recherche en Informatique, Signal et Automatique de Lille** Villeneuve-d'Ascq · France 2015–2017 · 9 papers](https://md.research.elamur.ai/free/en/labs/centre-de-recherche-en-informatique-signal-et-automatique-de-lille/) · [🏢**Google** Mountain View · United States 2017–2024 · 7 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**Georgia Tech-CNRS Laboratory** Metz · France 2013–2014 · 6 papers](https://ror.org/00avmbz91) · [🎓**Supélec** Gif-sur-Yvette · France 2013–2014 · 6 papers](https://ror.org/00n7gwn90) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2013–2016 · 5 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🔬**Centre Inria de l'Université de Lille** Villeneuve-d'Ascq · France 2014–2016 · 3 papers](https://md.research.elamur.ai/free/en/labs/centre-inria-de-l-universite-de-lille/) · [🎓**Université Lille 1** Lille · France 2016 · 2 papers](https://ror.org/040hwdc70) · [🎓**Georgia Tech-Europe** Metz · France 2014 · 2 papers](https://ror.org/02m5dy175) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/bilal-piot/year/2023/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/bilal-piot/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[A General Theoretical Paradigm to Understand Learning from Human Preferences](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/)** *(2023 · 263 citations)* This paper by researchers at Google DeepMind provides a theoretical foundation for methods that train language models from human preferences. 2. **[Agent57: Outperforming the Atari Human Benchmark](https://md.research.elamur.ai/free/en/papers/badia-2020-agent57-outperforming-atari-human-benchmark/)** *(2020 · 235 citations)* The suite of 57 Atari 2600 games (the ALE environment) has served for about ten years as the standard test of how general reinforcement learning (RL) algorithms are. ## All works 6 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. **[Bootstrap your own latent: A new approach to self-supervised Learning ↗](https://arxiv.org/abs/2006.07733) arXiv (Cornell University) · no summary yet**Jean-Bastien Grill et al.*2020 · 3,531 citations* 2. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations* 3. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations* 4. **[Noisy Networks for Exploration ↗](https://arxiv.org/abs/1706.10295) arXiv (Cornell University) · no summary yet**Meire Fortunato et al.*2017 · 570 citations* 5. [**A General Theoretical Paradigm to Understand Learning from Human Preferences arXiv:2310.12036**Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, et al.*2023 · 263 citations*](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/) 6. [**Agent57: Outperforming the Atari Human Benchmark arXiv:2003.13350**Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, et al.*2020 · 235 citations*](https://md.research.elamur.ai/free/en/papers/badia-2020-agent57-outperforming-atari-human-benchmark/) ## Co-authors here 7 co-authors with a page, the most papers together first. - [Daniel Guo](https://md.research.elamur.ai/free/en/authors/daniel-guo/) ×2 - [Charles Blundell](https://md.research.elamur.ai/free/en/authors/charles-blundell/) - [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/) - [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/) - [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/) - [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/) - [Rémi Munos](https://md.research.elamur.ai/free/en/authors/remi-munos/) ## Cited by Papers of our library cite their works 2,809 times (of the 149,439 papers whose bibliographies we read); [666 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bilal-piot/cited-by/). Updated 3 November 2026