---
title: "Yuanshun Yao — author profile and papers — Elamur Research"
description: "Yuanshun Yao: 2 papers on Elamur Research (2023–2026), h-index 13 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yuanshun-yao/"
---
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# Yuanshun Yao

Yuanshun Yao has 2 papers in our library, in 2023–2026, 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jingyu Zhang](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/), [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/), [Shengjie Bi](https://md.research.elamur.ai/free/en/authors/shengjie-bi/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5014146843) · [**h-index 13**](https://openalex.org/authors/A5014146843) · [38 works](https://openalex.org/works?filter=author.id:A5014146843) · [2,546 citations](https://openalex.org/works?filter=author.id:A5014146843&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuanshun-yao/#papers) · [🔗 Cited 129 times in our library](https://md.research.elamur.ai/free/en/authors/yuanshun-yao/cited-by/) · [⭐ Paper Stars ranking: #5933](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5933)

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

## Affiliations

[🏢**ByteDance** Beijing · China 2023–2025 · 10 papers](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**University of Chicago** Chicago · United States 2017–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🎓**University of California, Santa Barbara** Santa Barbara · United States 2017 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](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 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-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/yuanshun-yao/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yuanshun-yao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Large Language Model Unlearning](https://md.research.elamur.ai/free/en/papers/yao-2023-large-language-model-unlearning/)** *(2023 · 174 citations)* The paper treats unlearning as a cheap alignment tool for LLMs. The idea is to make a model drop unwanted behaviour using only negative examples, such as harmful replies found through red teaming or user reports, without the human-written positive answers that RLHF needs. The authors define the setting, goals and…
2. **[Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/phan-2026-beyond-reasoning-gains-mitigating-general/)** *(2026)* Reinforcement learning with verifiable rewards (RLVR) improves math and multimodal reasoning, but it tends to wear away skills a model already had, such as perception, OCR and robustness.

## Co-authors here

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

- [Jingyu Zhang](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/)
- [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/)
- [Shengjie Bi](https://md.research.elamur.ai/free/en/authors/shengjie-bi/)
- [Xianjun Yang](https://md.research.elamur.ai/free/en/authors/xianjun-yang/)
- [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/)

## Venues

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

- [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/)
- [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 129 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuanshun-yao/cited-by/).

Updated 1 November 2026
