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Daniel Guo

Daniel Guo has 2 papers in our library, in 2020–2023, most of them on Evaluation & benchmarks; often with Bilal Piot, Charles Blundell, Daniele Calandriello.

2 papers in our library · 2020–2023

OpenAlex · h-index 6 · 13 works · 549 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 269 times in our library · ⭐ Paper Stars ranking: #4387

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

🎓Stanford UniversityStanford · United States2024–2025 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work

 Works by year

2020s

20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A General Theoretical Paradigm to Understand Learning from Human Preferences (2023 · 263 citations)
    This paper by researchers at Google DeepMind provides a theoretical foundation for methods that train language models from human preferences.
  2. Agent57: Outperforming the Atari Human Benchmark (2020 · 235 citations)
    The suite of 57 Atari 2600 games (the ALE environment) has served for about ten years as the standard test of how general reinforcement learning (RL) algorithms are.

 Co-authors here

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

 Cited by

Papers of our library cite their works 269 times (of the 149,439 papers whose bibliographies we read); 69 citing papers with a page here →.

Updated

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