--- title: "Michal Valko — author profile and papers — Elamur Research" description: "Michal Valko, Institut national de recherche en sciences et technologies du numérique: 3 papers on Elamur Research (2023–2024), h-index 25 —…" canonical: "https://research.elamur.ai/free/en/authors/michal-valko/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/michal-valko/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Michal Valko # Michal Valko Michal Valko has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/), [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/), [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5106038276) · [ORCID](https://orcid.org/0009-0007-8593-7765) · [**h-index 25**](https://openalex.org/authors/A5106038276) · [172 works](https://openalex.org/works?filter=author.id:A5106038276) · [5,554 citations](https://openalex.org/works?filter=author.id:A5106038276&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/michal-valko/#papers) · [🔗 Cited 581 times in our library](https://md.research.elamur.ai/free/en/authors/michal-valko/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5394](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5394) 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=Michal+Valko) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Michal+Valko) · [dblp](https://dblp.org/search?q=Michal+Valko) · [ACL Anthology](https://aclanthology.org/search/?q=Michal+Valko) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2018–2026 · 60 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 2011–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🔬**Centre Inria de l'Université de Lille** Villeneuve-d'Ascq · France 2011–2026 · 25 papers*current*](https://md.research.elamur.ai/free/en/labs/centre-inria-de-l-universite-de-lille/) · [🎓**University of Pittsburgh** Pittsburgh · United States 2006–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/) · [🎓**Catholic University in Ruzomberok** Ružomberok · Slovakia 2022–2026 · 4 papersEducation 2022–2025 · Bachelor, Theological institute in Spišské PodhradieEducation since 2025 · Master, Theological Institute*current*](https://ror.org/05ra6d150) · [🏢**Sequella** Rockville · United States 2026 · 3 papers*current*](https://ror.org/0287vk548) · [🏢**Intel** Santa Clara · United States 2010–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/intel/) · [🎓**Université de Lille** Lille · France 2016–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/universite-de-lille/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🔬**École Normale Supérieure - PSL** Paris · France 2021–2025 · 5 papers](https://md.research.elamur.ai/free/en/labs/ecole-normale-superieure-psl/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/michal-valko/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/michal-valko/year/2023/) ## 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. **[Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving](https://md.research.elamur.ai/free/en/papers/didolkar-2024-metacognitive-capabilities-llms-exploration-mathematical/)** *(2024 · 45 citations)* The authors ask whether large language models have something like metacognitive knowledge, meaning an awareness of which skills a task calls for, and whether that awareness can be used to improve their performance. 3. **[Nash Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/munos-2023-nash-learning-human-feedback/)** *(2023 · 32 citations)* Standard RLHF reduces pairwise human judgments to a scalar reward, typically through a Bradley-Terry model, and then optimizes the LLM against that score. ## All works 5 works of theirs in our library, the most cited first; 3 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. [**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/) 3. **[Broaden Your Views for Self-Supervised Video Learning ↗](https://doi.org/10.1109/iccv48922.2021.00129) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Adrià Recasens et al.*2021 · 97 citations* 4. [**Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving arXiv:2405.12205**Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/didolkar-2024-metacognitive-capabilities-llms-exploration-mathematical/) 5. [**Nash Learning from Human Feedback arXiv:2312.00886**Remi Munos, Michal Valko, Daniele Calandriello, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/munos-2023-nash-learning-human-feedback/) ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/) ×2 - [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/) ×2 - [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/) ×2 - [Rémi Munos](https://md.research.elamur.ai/free/en/authors/remi-munos/) ×2 - [Andrea Michi](https://md.research.elamur.ai/free/en/authors/andrea-michi/) - [Aniket Didolkar](https://md.research.elamur.ai/free/en/authors/aniket-didolkar/) - [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/) - [Bilal Piot](https://md.research.elamur.ai/free/en/authors/bilal-piot/) - [Daniel Guo](https://md.research.elamur.ai/free/en/authors/daniel-guo/) - [Danilo Jimenez Rezende](https://md.research.elamur.ai/free/en/authors/danilo-jimenez-rezende/) - [Matthieu Geist](https://md.research.elamur.ai/free/en/authors/matthieu-geist/) - [Michael C. Mozer](https://md.research.elamur.ai/free/en/authors/michael-c-mozer/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE/CVF International Conference on Computer Vision (ICCV) ## Cited by Papers of our library cite their works 581 times (of the 149,439 papers whose bibliographies we read); [104 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/michal-valko/cited-by/). Updated 3 November 2026