---
title: "Yao Xiao — author profile and papers — Elamur Research"
description: "Yao Xiao, Singapore University of Technology and Design: 3 papers on Elamur Research (2023–2026), h-index 17 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yao-xiao/"
---
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# Yao Xiao

Yao Xiao has 3 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/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Bingxuan Li](https://md.research.elamur.ai/free/en/authors/bingxuan-li/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100701345) · [ORCID](https://orcid.org/0000-0002-9438-7431) · [**h-index 17**](https://openalex.org/authors/A5100701345) · [124 works](https://openalex.org/works?filter=author.id:A5100701345) · [1,110 citations](https://openalex.org/works?filter=author.id:A5100701345&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yao-xiao/#papers) · [🔗 Cited 103 times in our library](https://md.research.elamur.ai/free/en/authors/yao-xiao/cited-by/) · [⭐ Paper Stars ranking: #7423](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7423)

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

## Affiliations

[🎓**Sun Yat-sen University** Guangzhou · China 2020–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🏢**State Grid Hunan Electric Power Company Limited** Changsha · China 2025–2026 · 2 papers*current*](https://ror.org/00e17m144) · [🔬**Shenzhen Institutes of Advanced Technology** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shenzhen-institutes-of-advanced-technology/) · [🎓**Beijing Jiaotong University** Beijing · China 2014–2020 · 11 papers](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) · [🎓**University of Delaware** Newark · United States 2011–2014 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-delaware/) · [🎓**Changsha University of Science and Technology** Changsha · China 2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/changsha-university-of-science-and-technology/) · [🏛️**Ministry of Natural Resources** Beijing · China 2022–2025 · 4 papers](https://ror.org/02kxqx159) · [🎓**Nanjing University** Nanjing · China 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 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).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [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.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [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/yao-xiao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yao-xiao/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yao-xiao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services](https://md.research.elamur.ai/free/en/papers/yue-2023-disc-lawllm-fine-tuning-large/)** *(2023 · 121 citations)* DISC-LawLLM targets a gap in Chinese legal AI. Earlier legal LLMs mostly handled plain question answering, but real legal work needs structured legal reasoning and accurate use of statutes that change over time. The authors built DISC-Law-SFT, a supervised fine-tuning collection of about 403K instructions. They drew…
2. **[100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/)** *(2025 · 9 citations)* DeepSeek-R1 showed that explicit step-by-step reasoning can be trained into language models cheaply. However, DeepSeek did not publish full recipes, training data or configurations for DeepSeek-R1-Zero, DeepSeek-R1 or the distilled models. This survey collects the open replication efforts that appeared in the roughly…
3. **[Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty](https://md.research.elamur.ai/free/en/papers/xiao-2026-revisiting-self-play-preference-optimization/)** *(2026)* Self-play preference optimization aligns LLMs without human labels. A policy model samples several answers per prompt, a reward model scores them, and the top- and bottom-scored answers become a DPO training pair. Past work studied reward models and pair construction, but rarely asked which prompts belong in the…

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×2
- [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/)
- [Bingxuan Li](https://md.research.elamur.ai/free/en/authors/bingxuan-li/)
- [Chong Zhang](https://md.research.elamur.ai/free/en/authors/chong-zhang/)
- [Hai Ye](https://md.research.elamur.ai/free/en/authors/hai-ye/)
- [Jung-jae Kim](https://md.research.elamur.ai/free/en/authors/jung-jae-kim/)
- [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/)
- [Roy Ka-Wei Lee](https://md.research.elamur.ai/free/en/authors/roy-ka-wei-lee/)
- [Siyuan Wang](https://md.research.elamur.ai/free/en/authors/siyuan-wang/)
- [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/)
- [Xiang Lin](https://md.research.elamur.ai/free/en/authors/xiang-lin/)
- [Xingxuan Li](https://md.research.elamur.ai/free/en/authors/xingxuan-li/)

## 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/)

## Cited by

Papers of our library cite their works 103 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yao-xiao/cited-by/).

Updated 2 November 2026
