---
title: "Qingyang Wu — author profile and papers — Elamur Research"
description: "Qingyang Wu, University of California, Los Angeles: 3 papers on Elamur Research (2023–2026), h-index 21 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/qingyang-wu/"
---
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# Qingyang Wu

Qingyang Wu 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/), [Eric Wu](https://md.research.elamur.ai/free/en/authors/eric-wu/), [Haotian Liu](https://md.research.elamur.ai/free/en/authors/haotian-liu/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5010638511) · [ORCID](https://orcid.org/0000-0001-7888-4940) · [**h-index 21**](https://openalex.org/authors/A5010638511) · [82 works](https://openalex.org/works?filter=author.id:A5010638511) · [1,530 citations](https://openalex.org/works?filter=author.id:A5010638511&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qingyang-wu/#papers) · [🔗 Cited 1,974 times in our library](https://md.research.elamur.ai/free/en/authors/qingyang-wu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1202](https://md.research.elamur.ai/free/en/paper-stars/page/13/#star-1202)

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

## Affiliations

[🎓**University of California, Los Angeles** Los Angeles · United States 2024–2026 · 27 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**Tsinghua University** Beijing · China 2021–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of California, Davis** Davis · United States 2018–2021 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-davis/) · [🔬**Institute of Economics** Beijing · China 2022–2025 · 10 papers](https://ror.org/04v31xa23) · [🎓**Columbia University** New York · United States 2021–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🎓**University of California San Diego** San Diego · United States 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 9 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Fine-tuning · 1 work](https://md.research.elamur.ai/free/en/concepts/fine-tuning/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qingyang-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/qingyang-wu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/qingyang-wu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/)** *(2023 · 2,617 citations)* Instruction tuning on machine-written examples had already helped text-only LLMs, but multimodal models lacked comparable training data.
2. **[DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting](https://md.research.elamur.ai/free/en/papers/zhang-2024-decor-improving-coherence-l2-english/)** *(2024 · 5 citations)* Second-language (L2) English learners often struggle with discourse coherence. Existing automated writing evaluation tools mostly assign a coherence score based on shallow linguistic features and do not help learners fix the problem. The authors present DECOR, a benchmark built from 100 medium-level TOEFL-11 essays.…
3. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/)** *(2026 · 1 citation)* Popular biomedical QA benchmarks such as MedQA, MedMCQA and PubMedQA mix two kinds of questions: some need multi-step clinical inference, and others only need a remembered fact.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Visual Instruction Tuning arXiv:2304.08485**Haotian Liu, Chunyuan Li, Qingyang Wu, et al.*2023 · 2,617 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/)
2. **[Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models ↗](https://aclanthology.org/2021.eacl-main.110/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Qingyang Wu et al.*2021 · 92 citations*
3. **[DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting](https://md.research.elamur.ai/free/en/papers/zhang-2024-decor-improving-coherence-l2-english/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuanming Zhang, Anthony Diaz, Zixun Chen, et al.*2024 · 5 citations*
4. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rahul Thapa, Qingyang Wu, Kevin Wu, et al.*2026 · 1 citation*

## Co-authors here

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

- [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/)
- [Eric Wu](https://md.research.elamur.ai/free/en/authors/eric-wu/)
- [Haotian Liu](https://md.research.elamur.ai/free/en/authors/haotian-liu/)
- [Haotian Ye](https://md.research.elamur.ai/free/en/authors/haotian-ye/)
- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/)
- [Kevin Wu](https://md.research.elamur.ai/free/en/authors/kevin-wu/)
- [Kun Qian](https://md.research.elamur.ai/free/en/authors/kun-qian/)
- [Rahul Thapa](https://md.research.elamur.ai/free/en/authors/rahul-thapa/)
- [Yong Jae Lee](https://md.research.elamur.ai/free/en/authors/yong-jae-lee/)
- [Zhou Yu](https://md.research.elamur.ai/free/en/authors/zhou-yu/)

## Venues

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

- [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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

## Cited by

Papers of our library cite their works 1,974 times (of the 149,439 papers whose bibliographies we read); [338 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingyang-wu/cited-by/).

Updated 31 October 2026
