---
title: "Michael Santacroce — author profile and papers in our library"
description: "Michael Santacroce: 2 papers on Elamur Research (2023–2024), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/michael-santacroce/"
---
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# Michael Santacroce

Michael Santacroce has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/), [Arindam Mitra](https://md.research.elamur.ai/free/en/authors/arindam-mitra/), [Corby Rosset](https://md.research.elamur.ai/free/en/authors/corby-rosset/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5073314121) · [ORCID](https://orcid.org/0000-0002-9963-3574) · [**h-index 5**](https://openalex.org/authors/A5073314121) · [10 works](https://openalex.org/works?filter=author.id:A5073314121) · [191 citations](https://openalex.org/works?filter=author.id:A5073314121&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/michael-santacroce/#papers) · [🔗 Cited 1,044 times in our library](https://md.research.elamur.ai/free/en/authors/michael-santacroce/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9294](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9294)

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

## Affiliations

[🎓**University of Cincinnati** Cincinnati · United States 2018–2020 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-cincinnati/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/michael-santacroce/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/michael-santacroce/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences](https://md.research.elamur.ai/free/en/papers/rosset-2024-direct-nash-optimization-teaching-language/)** *(2024 · 44 citations)* Standard RLHF, and contrastive shortcuts such as DPO, assume that preferences derive from a scalar reward (e.g., the Bradley-Terry model).
2. **[Efficient RLHF: Reducing the Memory Usage of PPO](https://md.research.elamur.ai/free/en/papers/santacroce-2023-efficient-rlhf-reducing-memory-usage/)** *(2023 · 20 citations)* RLHF with PPO is costly. The PPO stage keeps an actor, a critic, a frozen reference policy and a frozen reward model in memory at once, so it needs more than three times the memory of supervised fine-tuning. That puts it out of reach for many teams. The Microsoft authors measure how several memory-saving variants…

## 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. [**Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences arXiv:2404.03715**Corby Rosset, Ching-An Cheng, Arindam Mitra, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/rosset-2024-direct-nash-optimization-teaching-language/)
2. [**Efficient RLHF: Reducing the Memory Usage of PPO arXiv:2309.00754**Michael Santacroce, Yadong Lu, Han Yu, et al.*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/santacroce-2023-efficient-rlhf-reducing-memory-usage/)
3. **[What Matters In The Structured Pruning of Generative Language Models? ↗](https://arxiv.org/abs/2302.03773) arXiv (Cornell University) · no summary yet**Michael Santacroce et al.*2023 · 20 citations*

## Co-authors here

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

- [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/)
- [Arindam Mitra](https://md.research.elamur.ai/free/en/authors/arindam-mitra/)
- [Corby Rosset](https://md.research.elamur.ai/free/en/authors/corby-rosset/)
- [Han Yu](https://md.research.elamur.ai/free/en/authors/han-yu/)
- [Tengyang Xie](https://md.research.elamur.ai/free/en/authors/tengyang-xie/)
- [Yadong Lu](https://md.research.elamur.ai/free/en/authors/yadong-lu/)
- [Yelong Shen](https://md.research.elamur.ai/free/en/authors/yelong-shen/)
- [Yuanzhi Li](https://md.research.elamur.ai/free/en/authors/yuanzhi-li/)

## Cited by

Papers of our library cite their works 1,044 times (of the 149,439 papers whose bibliographies we read); [223 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/michael-santacroce/cited-by/).

Updated 3 November 2026
