---
title: "Yann Dubois · Stanford University — author profile and papers"
description: "Yann Dubois, Stanford University: 2 papers on Elamur Research (2023), h-index 5 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/yann-dubois/"
---
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# Yann Dubois

Yann Dubois has 2 papers in our library, in 2023; often with [Jimmy Lei Ba](https://md.research.elamur.ai/free/en/authors/jimmy-lei-ba/), [Tatsunori Hashimoto](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/), [Andrew Wang](https://md.research.elamur.ai/free/en/authors/andrew-wang/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5115460912) · [**h-index 5**](https://openalex.org/authors/A5115460912) · [5 works](https://openalex.org/works?filter=author.id:A5115460912) · [132 citations](https://openalex.org/works?filter=author.id:A5115460912&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yann-dubois/#papers) · [🔗 Cited 731 times in our library](https://md.research.elamur.ai/free/en/authors/yann-dubois/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4022](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4022)

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

## Affiliations

[🎓**Stanford University** Stanford · United States 2025 · 1 paper*current*](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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/yann-dubois/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/)** *(2023 · 456 citations)* Training instruction-following LLMs with human feedback is costly and slow to iterate on. It is also hard to evaluate reliably, and commercial vendors document it poorly. AlpacaFarm is a sandbox for cheaply studying learning from pairwise feedback (LPF). It has three parts:
2. **[Identifying the Risks of LM Agents with an LM-Emulated Sandbox](https://md.research.elamur.ai/free/en/papers/ruan-2023-identifying-risks-lm-agents-lm/)** *(2023 · 96 citations)* LM agents that call external tools, such as banking APIs, terminals or smart-home devices, can cause serious harm when they misread a request.

## 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. **[AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 456 citations*
2. [**Identifying the Risks of LM Agents with an LM-Emulated Sandbox arXiv:2309.15817**Yangjun Ruan, Honghua Dong, Andrew Wang, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2023-identifying-risks-lm-agents-lm/)
3. **[Improving Self-Supervised Learning by Characterizing Idealized Representations ↗](https://doi.org/10.52202/068431-0820) neural information processing systems · no summary yet**Yann Dubois et al.*2022 · 11 citations*

## Co-authors here

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

- [Jimmy Lei Ba](https://md.research.elamur.ai/free/en/authors/jimmy-lei-ba/) ×2
- [Tatsunori Hashimoto](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/) ×2
- [Andrew Wang](https://md.research.elamur.ai/free/en/authors/andrew-wang/)
- [Carlos Guestrin](https://md.research.elamur.ai/free/en/authors/carlos-guestrin/)
- [Chris J. Maddison](https://md.research.elamur.ai/free/en/authors/chris-j-maddison/)
- [Honghua Dong](https://md.research.elamur.ai/free/en/authors/honghua-dong/)
- [Ishaan Gulrajani](https://md.research.elamur.ai/free/en/authors/ishaan-gulrajani/)
- [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/)
- [Silviu Pitis](https://md.research.elamur.ai/free/en/authors/silviu-pitis/)
- [Tianyi Zhang](https://md.research.elamur.ai/free/en/authors/tianyi-zhang/)
- [Yangjun Ruan](https://md.research.elamur.ai/free/en/authors/yangjun-ruan/)
- [Yongchao Zhou](https://md.research.elamur.ai/free/en/authors/yongchao-zhou/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- neural information processing systems

## Cited by

Papers of our library cite their works 731 times (of the 149,439 papers whose bibliographies we read); [211 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yann-dubois/cited-by/).

Updated 2 November 2026
