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Benoit Steiner

Benoit Steiner has 2 papers in our library, in 2023, most of them on Language models & pretraining, Reasoning; often with Dustin Li, Esin Durmus, Evan Hubinger.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 12 · 26 works · 36,728 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5,349 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5059

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢MetaMenlo Park · United States2019–2023 · 6 papers🏢GoogleMountain View · United States2016–2018 · 3 papers🏢MetaLondon · United Kingdom2020–2021 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Measuring Faithfulness in Chain-of-Thought Reasoning (2023 · 262 citations)
    Step-by-step "Chain-of-Thought" (CoT) prompting makes LLMs more accurate. It is less clear whether the written reasoning actually explains how the model reaches its answer. The authors, mostly at Anthropic, built a set of interventions to test this. They cut the CoT short, inserted an error into it, reworded it, or…
  2. Studying Large Language Model Generalization with Influence Functions (2023 · 105 citations)
    Knowing which training examples drive a given behavior in a large language model could help researchers anticipate and reduce its risks.

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. Device Placement Optimization with Reinforcement Learning ↗arXiv:1706.04972 · no summary yetAzalia Mirhoseini et al.2017 · 343 citations
  2. Measuring Faithfulness in Chain-of-Thought ReasoningarXiv:2307.13702Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 262 citations
  3. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  4. A Hierarchical Model for Device Placement ↗International Conference on Learning Representations · no summary yetAzalia Mirhoseini et al.2018 · 100 citations
  5. Hierarchical Planning for Device Placement ↗no summary yetAzalia Mirhoseini et al.2018 · 20 citations
  6. Learning Space Partitions for Path Planning ↗arXiv (Cornell University) · no summary yetKevin Yang et al.2021 · 2 citations

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 5,349 times (of the 149,439 papers whose bibliographies we read); 473 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/benoit-steiner/