---
title: "Qiyuan Zhang — author profile and papers — Elamur Research"
description: "Qiyuan Zhang, City University of Hong Kong: 4 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/qiyuan-zhang/"
---
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# Qiyuan Zhang

Qiyuan Zhang has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yufei Wang](https://md.research.elamur.ai/free/en/authors/yufei-wang/), [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/), [Fuyuan Lyu](https://md.research.elamur.ai/free/en/authors/fuyuan-lyu/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139815569) · [**h-index 0**](https://openalex.org/authors/A5139815569) · [2 works](https://openalex.org/works?filter=author.id:A5139815569) · [0 citations](https://openalex.org/works?filter=author.id:A5139815569&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/qiyuan-zhang/#papers) · [🔗 Cited 89 times in our library](https://md.research.elamur.ai/free/en/authors/qiyuan-zhang/cited-by/) · [⭐ Paper Stars ranking: #8023](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8023)

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

## Affiliations

[🎓**City University of Hong Kong** Hong Kong · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) · [🎓**University of Illinois at Springfield** Springfield · United States 2026 · 1 paper*current*](https://ror.org/0126qma51)

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 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qiyuan-zhang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/qiyuan-zhang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-test-time-scaling-large/)** *(2025 · 79 citations)* Gains from enlarging pretraining data and model size are slowing, so research has shifted toward spending extra computation at inference.
2. **[Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/)** *(2025 · 13 citations)* LLM-as-a-Judge systems often produce chain-of-thought (CoT) judgments that focus on only a few aspects of the responses, so their verdicts can be shallow or wrong.
3. **[RubricBench: Aligning Model-Generated Rubrics with Human Standards](https://md.research.elamur.ai/free/en/papers/zhou-2026-rubricbench-aligning-model-generated-rubrics/)** *(2026 · 3 citations)* Reward models increasingly judge LLM outputs against rubrics, which are checklists of explicit criteria, to reduce shallow biases such as favoring longer or more polished answers.
4. **[Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-length-scaling-synergizing-breadth/)** *(2026)* Generative reward models (GRMs) usually improve by writing longer evaluation rationales. This paper argues that length is the wrong lever and that the reasoning style must fit the task. The authors propose Mix-GRM. An LLM breaks free-form judge rationales into atomic Principle–Judgment–Verdict units, which are then…

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Yufei Wang](https://md.research.elamur.ai/free/en/authors/yufei-wang/) ×4
- [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/) ×3
- [Fuyuan Lyu](https://md.research.elamur.ai/free/en/authors/fuyuan-lyu/) ×3
- [Xue Liu](https://md.research.elamur.ai/free/en/authors/xue-liu/) ×3
- [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/) ×2
- [Kai Zheng](https://md.research.elamur.ai/free/en/authors/kai-zheng/) ×2
- [Qingfeng Sun](https://md.research.elamur.ai/free/en/authors/qingfeng-sun/) ×2
- [Chuhan Wu](https://md.research.elamur.ai/free/en/authors/chuhan-wu/)
- [Haolun Wu](https://md.research.elamur.ai/free/en/authors/haolun-wu/)
- [Irwin King](https://md.research.elamur.ai/free/en/authors/irwin-king/)
- [Lei Wang](https://md.research.elamur.ai/free/en/authors/lei-wang/)
- [Liangyou Li](https://md.research.elamur.ai/free/en/authors/liangyou-li/)

## 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/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 89 times (of the 149,439 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qiyuan-zhang/cited-by/).

Updated 2 November 2026
