---
title: "Zhichao Yang · Xidian University — author profile and papers"
description: "Zhichao Yang, Xidian University: 3 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/zhichao-yang/"
---
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# Zhichao Yang

Zhichao Yang has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Feiyun Ouyang](https://md.research.elamur.ai/free/en/authors/feiyun-ouyang/), [Hong Yu](https://md.research.elamur.ai/free/en/authors/hong-yu/), [Junda Wang](https://md.research.elamur.ai/free/en/authors/junda-wang/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5101448608) · [ORCID](https://orcid.org/0009-0008-3398-1286) · [**h-index 6**](https://openalex.org/authors/A5101448608) · [17 works](https://openalex.org/works?filter=author.id:A5101448608) · [142 citations](https://openalex.org/works?filter=author.id:A5101448608&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhichao-yang/#papers) · [🔗 Cited 27 times in our library](https://md.research.elamur.ai/free/en/authors/zhichao-yang/cited-by/) · [⭐ Paper Stars ranking: #8271](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8271)

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

## Affiliations

[🎓**Xidian University** Xi'an · China 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🎓**Beihang University** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

## 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).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/)

🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](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/zhichao-yang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichao-yang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models](https://md.research.elamur.ai/free/en/papers/tran-2025-rare-retrieval-augmented-reasoning-enhancement/)** *(2025 · 20 citations)* Answering knowledge-heavy questions, especially in medicine, requires both several reasoning steps and facts that a pretrained model may lack or hold only in outdated form.
2. **[Fast and Effective On-Policy Distillation from Reasoning Prefixes](https://md.research.elamur.ai/free/en/papers/zhang-2026-fast-effective-policy-distillation-reasoning/)** *(2026 · 12 citations)* On-policy distillation (OPD) trains a student LLM on its own sampled outputs, using token-level feedback from a teacher.
3. **[MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills](https://md.research.elamur.ai/free/en/papers/yao-2026-medqa-cs-objective-structured-clinical/)** *(2026 · 3 citations)* Most medical LLM benchmarks, such as MedQA, rely on multiple-choice questions. These test what a model knows but not whether it can carry out a patient encounter. MedQA-CS fills this gap with an AI-SCE benchmark modeled on the OSCE format of the USMLE Step 2 CS exam, targeting the "shows how" tier of Miller's Pyramid.

## Co-authors here

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

- [Feiyun Ouyang](https://md.research.elamur.ai/free/en/authors/feiyun-ouyang/) ×2
- [Hong Yu](https://md.research.elamur.ai/free/en/authors/hong-yu/) ×2
- [Junda Wang](https://md.research.elamur.ai/free/en/authors/junda-wang/) ×2
- [Zonghai Yao](https://md.research.elamur.ai/free/en/authors/zonghai-yao/) ×2
- [Dongxu Zhang](https://md.research.elamur.ai/free/en/authors/dongxu-zhang/)
- [Hieu Tran](https://md.research.elamur.ai/free/en/authors/hieu-tran/)
- [Huixue Zhou](https://md.research.elamur.ai/free/en/authors/huixue-zhou/)
- [Shuo Han](https://md.research.elamur.ai/free/en/authors/shuo-han/)
- [Yifan Zhang](https://md.research.elamur.ai/free/en/authors/yifan-zhang/)
- [Zihao Zhang](https://md.research.elamur.ai/free/en/authors/zihao-zhang/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [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 27 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhichao-yang/cited-by/).

Updated 31 October 2026
