---
title: "Dongrui Liu · Wuhan University — author profile and papers"
description: "Dongrui Liu, Wuhan University: 4 papers on Elamur Research (2025), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/dongrui-liu/"
---
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# Dongrui Liu

Dongrui Liu has 4 papers in our library, in 2025, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/), [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/), [Daizong Liu](https://md.research.elamur.ai/free/en/authors/daizong-liu/).

4 papers in our library · 2025

[OpenAlex](https://openalex.org/A5020653216) · [ORCID](https://orcid.org/0000-0003-0087-1124) · [**h-index 10**](https://openalex.org/authors/A5020653216) · [60 works](https://openalex.org/works?filter=author.id:A5020653216) · [219 citations](https://openalex.org/works?filter=author.id:A5020653216&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/dongrui-liu/#papers) · [🔗 Cited 98 times in our library](https://md.research.elamur.ai/free/en/authors/dongrui-liu/cited-by/) · [⭐ Paper Stars ranking: #6686](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6686)

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

## Affiliations

[🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Wuhan University** Wuhan · China 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2018–2025 · 18 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🔬**Shanghai Key Laboratory of Navigation and Location Based Services** Shanghai · China 2018–2023 · 5 papers](https://ror.org/037c6vm21)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety · 3 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/dongrui-liu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)** *(2025 · 55 citations)* Large Reasoning Models (LRMs) such as DeepSeek-R1, OpenAI o1/o3 and QwQ gain accuracy by writing long chain-of-thought (CoT) traces before answering.
2. **[VLSBench: Unveiling Visual Leakage in Multimodal Safety](https://md.research.elamur.ai/free/en/papers/hu-2025-vlsbench-unveiling-visual-leakage-multimodal/)** *(2025 · 32 citations)* Earlier work reported a puzzling result: aligning multimodal LLMs with text-only data seemed to make them about as safe as aligning them with image-text pairs.
3. **[LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts](https://md.research.elamur.ai/free/en/papers/ren-2025-llms-know-their-vulnerabilities-uncover/)** *(2025 · 18 citations)* The paper investigates a safety weakness of aligned LLMs. Seemingly harmless prompts that are semantically connected to a harmful request can steer a model into producing unsafe output. The authors call this exploitation of "natural distribution shift" and contrast it with attacks that deliberately distort the toxic…
4. **[LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint](https://md.research.elamur.ai/free/en/papers/ma-2025-led-merging-mitigating-safety-utility/)** *(2025 · 5 citations)* Combining several fine-tuned LLMs into one through training-free model merging tends to weaken safety. The merged model gains skills such as math or coding but becomes more willing to produce harmful output. The authors trace this to two causes. First, existing methods pick neurons by parameter magnitude, which…

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/) ×3
- [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/) ×2
- [Daizong Liu](https://md.research.elamur.ai/free/en/authors/daizong-liu/)
- [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/)
- [Junchi Yan](https://md.research.elamur.ai/free/en/authors/junchi-yan/)
- [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/)
- [Lei Sha](https://md.research.elamur.ai/free/en/authors/lei-sha/)
- [Linfeng Zhang](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/)
- [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/)
- [Qian Chen](https://md.research.elamur.ai/free/en/authors/qian-chen/)
- [Qianli Ma](https://md.research.elamur.ai/free/en/authors/qianli-ma/)
- [Wei Wei](https://md.research.elamur.ai/free/en/authors/wei-wei/)

## 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/) ×3: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3

## Cited by

Papers of our library cite their works 98 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dongrui-liu/cited-by/).

Updated 1 November 2026
