---
title: "Yuhui Zhang · Stanford University — author profile and papers"
description: "Yuhui Zhang, Stanford University: 5 papers on Elamur Research (2020–2025), h-index 2 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/yuhui-zhang/"
---
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# Yuhui Zhang

Yuhui Zhang has 5 papers in our library, in 2020–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [English](https://md.research.elamur.ai/free/en/topics/english/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [Peng Qi](https://md.research.elamur.ai/free/en/authors/peng-qi/), [Yuhao Zhang](https://md.research.elamur.ai/free/en/authors/yuhao-zhang/).

5 papers in our library · 2020–2025

[OpenAlex](https://openalex.org/A5006800042) · [ORCID](https://orcid.org/0000-0003-1185-176X) · [**h-index 2**](https://openalex.org/authors/A5006800042) · [4 works](https://openalex.org/works?filter=author.id:A5006800042) · [291 citations](https://openalex.org/works?filter=author.id:A5006800042&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yuhui-zhang/#papers) · [🔗 Cited 1,058 times in our library](https://md.research.elamur.ai/free/en/authors/yuhui-zhang/cited-by/) · [⭐ Paper Stars ranking: #1234](https://md.research.elamur.ai/free/en/paper-stars/page/13/#star-1234)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuhui+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuhui+Zhang) · [dblp](https://dblp.org/search?q=Yuhui+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuhui+Zhang)

## Affiliations

[🎓**Stanford University** Stanford · United States 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/)

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 14 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Statistics, Probability and Uncertainty · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuhui-zhang/year/2025/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/yuhui-zhang/year/2023/) · [**2020** 2 papers](https://md.research.elamur.ai/free/en/authors/yuhui-zhang/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://md.research.elamur.ai/free/en/papers/qi-2020-stanza-python-natural-language-processing/)** *(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](https://md.research.elamur.ai/free/en/papers/liang-2023-large-language-models-provide/)** *(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](https://md.research.elamur.ai/free/en/papers/nie-2023-moca-measuring-human-language-model/)** *(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](https://md.research.elamur.ai/free/en/papers/zhang-2020-biomedical-clinical-english-model-packages/)** *(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](https://md.research.elamur.ai/free/en/papers/wei-2025-equibench-benchmarking-large-language-models/)** *(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.

- [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) ×2
- [Peng Qi](https://md.research.elamur.ai/free/en/authors/peng-qi/) ×2
- [Yuhao Zhang](https://md.research.elamur.ai/free/en/authors/yuhao-zhang/) ×2
- [Alex Aiken](https://md.research.elamur.ai/free/en/authors/alex-aiken/)
- [Allen Nie](https://md.research.elamur.ai/free/en/authors/allen-nie/)
- [Curtis P. Langlotz](https://md.research.elamur.ai/free/en/authors/curtis-p-langlotz/)
- [Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/)
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)
- [Hancheng Cao](https://md.research.elamur.ai/free/en/authors/hancheng-cao/)
- [Hongyu Chen](https://md.research.elamur.ai/free/en/authors/hongyu-chen/)
- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/)
- [Jason Bolton](https://md.research.elamur.ai/free/en/authors/jason-bolton/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## 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 →](https://md.research.elamur.ai/free/en/authors/yuhui-zhang/cited-by/).

Updated 2 November 2026
