---
title: "Louis Castricato — author profile and papers in our library"
description: "Louis Castricato: 3 papers on Elamur Research (2024–2025), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/louis-castricato/"
---
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# Louis Castricato

Louis Castricato has 3 papers in our library, in 2024–2025, 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 [Alon Albalak](https://md.research.elamur.ai/free/en/authors/alon-albalak/), [Chase Blagden](https://md.research.elamur.ai/free/en/authors/chase-blagden/), [Dakota Mahan](https://md.research.elamur.ai/free/en/authors/dakota-mahan/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5004714414) · [ORCID](https://orcid.org/0000-0003-2996-886X) · [**h-index 5**](https://openalex.org/authors/A5004714414) · [32 works](https://openalex.org/works?filter=author.id:A5004714414) · [354 citations](https://openalex.org/works?filter=author.id:A5004714414&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/louis-castricato/#papers) · [🔗 Cited 185 times in our library](https://md.research.elamur.ai/free/en/authors/louis-castricato/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7479](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7479)

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=Louis+Castricato) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Louis+Castricato) · [dblp](https://dblp.org/search?q=Louis+Castricato) · [ACL Anthology](https://aclanthology.org/search/?q=Louis+Castricato)

## Affiliations

[🎓**Georgia Institute of Technology** Atlanta · United States 2021–2022 · 8 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Brown University** Providence · United States 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/brown-university/) · [🎓**Stanford University** Stanford · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/)

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/louis-castricato/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/louis-castricato/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Generative Reward Models](https://md.research.elamur.ai/free/en/papers/mahan-2024-generative-reward-models/)** *(2024 · 58 citations)* Reward models trained with the Bradley-Terry objective on human preference pairs score well on familiar data but generalize poorly to unseen tasks.
2. **[Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/xiang-2025-towards-system-2-reasoning-llms/)** *(2025 · 47 citations)* Large language models handle routine math well but still fail on harder problems. The authors argue that ordinary Chain-of-Thought (CoT) is part of the cause. Written solutions in training data show only the polished final derivation. They omit the hidden, non-linear work of trying options, checking them and…
3. **[Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models](https://md.research.elamur.ai/free/en/papers/albalak-2025-big-math-large-scale-high/)** *(2025 · 43 citations)* Reinforcement learning for reasoning in LLMs needs math problems whose answers can be checked automatically.

## All works

4 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. **[Linearly Mapping from Image to Text Space ↗](https://arxiv.org/abs/2209.15162) arXiv (Cornell University) · no summary yet**Jack Merullo et al.*2022 · 65 citations*
2. [**Generative Reward Models arXiv:2410.12832**Dakota Mahan, Duy Van Phung, Rafael Rafailov, et al.*2024 · 58 citations*](https://md.research.elamur.ai/free/en/papers/mahan-2024-generative-reward-models/)
3. [**Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought arXiv:2501.04682**Violet Xiang, Charlie Snell, Kanishk Gandhi, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/xiang-2025-towards-system-2-reasoning-llms/)
4. [**Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models arXiv:2502.17387**Alon Albalak, Duy Phung, Nathan Lile, et al.*2025 · 43 citations*](https://md.research.elamur.ai/free/en/papers/albalak-2025-big-math-large-scale-high/)

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Alon Albalak](https://md.research.elamur.ai/free/en/authors/alon-albalak/) ×3
- [Chase Blagden](https://md.research.elamur.ai/free/en/authors/chase-blagden/) ×3
- [Dakota Mahan](https://md.research.elamur.ai/free/en/authors/dakota-mahan/) ×3
- [Duy Phung](https://md.research.elamur.ai/free/en/authors/duy-phung/) ×3
- [Nathan Lile](https://md.research.elamur.ai/free/en/authors/nathan-lile/) ×3
- [Rafael Rafailov](https://md.research.elamur.ai/free/en/authors/rafael-rafailov/) ×3
- [Anikait Singh](https://md.research.elamur.ai/free/en/authors/anikait-singh/) ×2
- [Jan-Philipp Franken](https://md.research.elamur.ai/free/en/authors/jan-philipp-franken/) ×2
- [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/) ×2
- [Violet Xiang](https://md.research.elamur.ai/free/en/authors/violet-xiang/) ×2
- [Charlie Snell](https://md.research.elamur.ai/free/en/authors/charlie-snell/)
- [Chelsea Finn](https://md.research.elamur.ai/free/en/authors/chelsea-finn/)

## Cited by

Papers of our library cite their works 185 times (of the 149,439 papers whose bibliographies we read); [73 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/louis-castricato/cited-by/).

Updated 3 November 2026
