---
title: "Guangxiang Zhao — author profile and papers · Reasoning"
description: "Guangxiang Zhao, Peking University: 2 papers on Elamur Research (2025–2026), h-index 9 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/guangxiang-zhao/"
---
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# Guangxiang Zhao

Guangxiang Zhao has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Lin Sun](https://md.research.elamur.ai/free/en/authors/lin-sun/), [Qilong Shi](https://md.research.elamur.ai/free/en/authors/qilong-shi/), [Change Jia](https://md.research.elamur.ai/free/en/authors/change-jia/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5077075399) · [ORCID](https://orcid.org/0000-0002-3046-512X) · [**h-index 9**](https://openalex.org/authors/A5077075399) · [33 works](https://openalex.org/works?filter=author.id:A5077075399) · [414 citations](https://openalex.org/works?filter=author.id:A5077075399&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guangxiang-zhao/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/guangxiang-zhao/cited-by/) · [⭐ Paper Stars ranking: #11389](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11389)

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

## Affiliations

[🎓**Peking University** Beijing · China 2018–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/guangxiang-zhao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/guangxiang-zhao/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation](https://md.research.elamur.ai/free/en/papers/sun-2025-tinyr1-32b-preview-boosting-accuracy/)** *(2025 · 7 citations)* Compact reasoning models are usually built by fine-tuning a smaller model on a mix of reasoning traces from a much larger teacher.
2. **[Thinking with Reasoning Skills: Fewer Tokens, More Accuracy](https://md.research.elamur.ai/free/en/papers/zhao-2026-thinking-reasoning-skills-fewer-tokens/)** *(2026 · 1 citation)* Reasoning LLMs such as OpenAI o1 and DeepSeek-R1 often produce thousands of intermediate tokens per query.

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Lin Sun](https://md.research.elamur.ai/free/en/authors/lin-sun/) ×2
- [Qilong Shi](https://md.research.elamur.ai/free/en/authors/qilong-shi/) ×2
- [Change Jia](https://md.research.elamur.ai/free/en/authors/change-jia/)
- [Linglin Zhang](https://md.research.elamur.ai/free/en/authors/linglin-zhang/)
- [Tong Yang](https://md.research.elamur.ai/free/en/authors/tong-yang/)
- [Xiangzheng Zhang](https://md.research.elamur.ai/free/en/authors/xiangzheng-zhang/)
- [Yuhan Wu](https://md.research.elamur.ai/free/en/authors/yuhan-wu/)

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

## Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/guangxiang-zhao/cited-by/).

Updated 1 November 2026
