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Rose Yu

Rose Yu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Animesh Garg, Carl Vondrick, Fei Sha.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 27 · 154 works · 5,136 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 43 times in our library · ⭐ Paper Stars ranking: #9753

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

🎓University of California San DiegoSan Diego · United States2020–2026 · 85 paperscurrent🎓Northeastern UniversityBoston · United States2019–2026 · 14 paperscurrent🎓University of Southern CaliforniaLos Angeles · United States2014–2017 · 10 papers🎓California Institute of TechnologyPasadena · United States2017–2018 · 3 papers🏥UC San Diego Health SystemSan Diego · 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. 4 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 10The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 2 worksComputational Theory and Mathematics · 1 workDecision Sciences · 1 workHistory and Philosophy of Science · 1 workInformation Systems and Management · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 work

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

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Hilbert: Recursively Building Formal Proofs with Informal Reasoning (2025 · 26 citations)
    Large language models handle informal mathematics well, but their arguments often contain errors that are hard to check.
  2. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025 (2025 · 21 citations)
    Submissions to AI conferences are growing fast. ICLR grew 47% in 2024 and 61% in 2025. This strains reviewers and leaves authors facing short, unsupported criticism. To address this, the authors built Review Feedback Agent, a pipeline of five Claude Sonnet 3.5 instances: two Actors, an Aggregator, a Critic and a…
  3. CaTS-Bench: Can Language Models Describe Time Series? (2026 · 1 citation)
    Time series captioning (TSC) means producing natural-language descriptions of numeric sequences. Existing benchmarks for it mostly rely on synthetic or template-like captions and rarely include metadata or plots. CaTS-Bench addresses this gap with a multimodal benchmark built from 11 real-world source datasets…

 Co-authors here

11 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 43 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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