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Yuhui Zhang

Yuhui Zhang has 5 papers in our library, in 2020–2025, most of them on Language models & pretraining, English, Reasoning; often with Christopher D. Manning, Peng Qi, Yuhao Zhang.

5 papers in our library · 2020–2025

OpenAlex · ORCID · h-index 2 · 4 works · 291 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 1,058 times in our library · ⭐ Paper Stars ranking: #1234

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 States2024–2026 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 14The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksDecision Sciences · 1 workHistory and Philosophy of Science · 1 workStatistics, Probability and Uncertainty · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 workCognitive Neuroscience · 1 workNeuroscience · 1 workSafety Research · 1 workSocial Sciences · 1 workInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.English · 2 worksLanguage models & pretraining · 2 worksGPU & parallel computing · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20232 papers20202 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Stanza: A Python Natural Language Processing Toolkit for Many Human Languages (2020 · 2,352 citations)
    Stanza is a Python toolkit whose pipeline is neural from raw text to dependencies, for 66 languages. It has a combined tokenizer and sentence splitter, multi-word-token expansion (a frequency lexicon with a sequence-to-sequence model), a POS and feature tagger that conditions XPOS and features on UPOS, a lemmatizer…
  2. Can large language models provide useful feedback on research papers? A large-scale empirical analysis (2023 · 332 citations)
    Rising submission volumes make it harder to get timely, high-quality critique of manuscripts. ICLR submissions, for example, grew from 960 in 2018 to 4,966 in 2023. Junior and under-resourced researchers are hit hardest. The authors test whether GPT-4 can supply useful reviewer-style comments. Their pipeline parses a…
  3. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks (2023 · 41 citations)
    Large language models are increasingly used as stand-ins for people, yet aggregate accuracy scores reveal little about whether they reason like humans.
  4. Biomedical and Clinical English Model Packages in the Stanza Python NLP Library (2020 · 24 citations)
    General-purpose NLP toolkits handle biomedical and clinical English poorly, and domain-specific tools often lack modern neural models or native Python support.
  5. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking (2025 · 8 citations)
    EquiBench asks whether large language models actually grasp what code does or mostly react to how it looks.

 Co-authors here

12 of 22 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 1,058 times (of the 149,439 papers whose bibliographies we read); 184 citing papers with a page here →.

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