---
title: "Yuhui Wang · Fudan University — author profile and papers"
description: "Yuhui Wang, Fudan University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yuhui-wang/"
---
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# Yuhui Wang

Yuhui Wang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/), [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/), [Enyu Zhou](https://md.research.elamur.ai/free/en/authors/enyu-zhou/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139792583) · [**h-index 0**](https://openalex.org/authors/A5139792583) · [2 works](https://openalex.org/works?filter=author.id:A5139792583) · [0 citations](https://openalex.org/works?filter=author.id:A5139792583&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuhui-wang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/yuhui-wang/cited-by/) · [⭐ Paper Stars ranking: #12343](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12343)

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+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuhui+Wang) · [dblp](https://dblp.org/search?q=Yuhui+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuhui+Wang)

## Affiliations

[🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuhui-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-llmeval-fair-large-scale-longitudinal/)** *(2026 · 3 citations)* Fixed public test sets can leak into training corpora and be overfitted, so leaderboard scores may overstate real LLM ability.
2. **[VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training](https://md.research.elamur.ai/free/en/papers/zhu-2026-vrpo-rethinking-value-modeling-robust/)** *(2026)* Reward signals in LLM post-training are often noisy, sparse or ambiguous. When such errors pass through GAE, advantage estimates become distorted: credit drifts toward the end of a sequence (length hacking) or onto irrelevant tokens. Prior robust-RL work mostly cleans the reward model or filters data. This paper…

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/) ×2
- [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/)
- [Enyu Zhou](https://md.research.elamur.ai/free/en/authors/enyu-zhou/)
- [Guoqiang Zhang](https://md.research.elamur.ai/free/en/authors/guoqiang-zhang/)
- [Jiazheng Zhang](https://md.research.elamur.ai/free/en/authors/jiazheng-zhang/)
- [Jingqi Tong](https://md.research.elamur.ai/free/en/authors/jingqi-tong/)
- [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/)
- [Junzhe Wang](https://md.research.elamur.ai/free/en/authors/junzhe-wang/)
- [Mingxu Chai](https://md.research.elamur.ai/free/en/authors/mingxu-chai/)
- [Senjie Jin](https://md.research.elamur.ai/free/en/authors/senjie-jin/)
- [Shichun Liu](https://md.research.elamur.ai/free/en/authors/shichun-liu/)
- [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/yuhui-wang/cited-by/).

Updated 2 November 2026
