---
title: "Ling Yang · Peking University — author profile and papers"
description: "Ling Yang, Peking University: 2 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/ling-yang/"
---
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# Ling Yang

Ling Yang has 2 papers in our library, in 2024–2026, 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Bin Cui](https://md.research.elamur.ai/free/en/authors/bin-cui/), [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/), [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5121865975) · [**h-index 1**](https://openalex.org/authors/A5121865975) · [1 works](https://openalex.org/works?filter=author.id:A5121865975) · [206 citations](https://openalex.org/works?filter=author.id:A5121865975&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ling-yang/#papers) · [🔗 Cited 100 times in our library](https://md.research.elamur.ai/free/en/authors/ling-yang/cited-by/) · [⭐ Paper Stars ranking: #4894](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4894)

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

## Affiliations

[🎓**Peking University** Beijing · China 2026 · 1 paper*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.

## Fields, topics and concepts

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

📚 Shelves 6 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/ling-yang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ling-yang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Retrieval-Augmented Generation for AI-Generated Content: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2024-retrieval-augmented-generation-ai-generated/)** *(2024 · 301 citations)* Generative models for text, code, images, video and other media still have trouble with outdated knowledge, rare (long-tail) facts, leakage of private training data, and costly training and inference.
2. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/)** *(2026 · 8 citations)* RL methods such as GRPO strengthen LLM reasoning, but they learn only from rollouts the model samples freely from its own distribution.

## Co-authors here

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

- [Bin Cui](https://md.research.elamur.ai/free/en/authors/bin-cui/)
- [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/)
- [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/)
- [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/)
- [Jie Jiang](https://md.research.elamur.ai/free/en/authors/jie-jiang/)
- [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/)
- [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/)
- [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/)
- [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/)
- [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/)
- [Zhengren Wang](https://md.research.elamur.ai/free/en/authors/zhengren-wang/)

## 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 100 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ling-yang/cited-by/).

Updated 31 October 2026
