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Ryo Kamoi

Ryo Kamoi has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Greg Durrett, Jiawei Han, Juan Diego Rodriguez.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 5 · 30 works · 189 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 158 times in our library · ⭐ Paper Stars ranking: #4349

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

🎓Pennsylvania State UniversityState College · United States2023–2026 · 18 paperscurrent🎓Southern States UniversitySan Diego · United States2026 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2022–2023 · 3 papers🎓Columbia UniversityNew York · United States2023–2024 · 2 papers🎓University of Southern CaliforniaLos Angeles · United States2023–2024 · 2 papers

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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20241 paperWhen Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs20231 paperWiCE: Real-World Entailment for Claims in Wikipedia

 Papers

The most cited first (OpenAlex and our library).

  1. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs (2024 · 159 citations)
    Studies disagree on whether large language models can fix their own errors at inference time. Some report gains from self-correction, while others find that models fail to detect or repair their mistakes. Kamoi et al. review a wide range of self-correction work, covering intrinsic prompting, external tools or…
  2. WiCE: Real-World Entailment for Claims in Wikipedia (2023 · 109 citations)
    Entailment (NLI) models are now routinely used for fact-checking, judging generated summaries and validating QA outputs.

 Co-authors here

6 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 158 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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