---
title: "Jingyu Zhang — author profile and papers — Elamur Research"
description: "Jingyu Zhang, University College London: 2 papers on Elamur Research (2024–2026), h-index 9 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/jingyu-zhang/"
---
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# Jingyu Zhang

Jingyu Zhang 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/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Boyuan Zheng](https://md.research.elamur.ai/free/en/authors/boyuan-zheng/), [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/), [Haoran Xu](https://md.research.elamur.ai/free/en/authors/haoran-xu/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100335725) · [ORCID](https://orcid.org/0009-0000-9142-990X) · [**h-index 9**](https://openalex.org/authors/A5100335725) · [55 works](https://openalex.org/works?filter=author.id:A5100335725) · [249 citations](https://openalex.org/works?filter=author.id:A5100335725&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/#papers) · [🔗 Cited 97 times in our library](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7010](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7010)

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

## Affiliations

[🎓**University College London** London · United Kingdom 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🎓**Johns Hopkins University** Baltimore · United States 2021–2025 · 15 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2020–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**The University of Sydney** Sydney · Australia 2011–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🎓**Xi'an International Studies University** Xi'an · China 2022–2023 · 4 papers](https://ror.org/05gcme754) · [🎓**Shandong University** Jinan · China 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🏥**Fourth Affiliated Hospital of Harbin Medical University** Harbin · China 2022–2024 · 2 papers](https://ror.org/02s7c9e98) · [🎓**Harbin Medical University** Harbin · China 2022–2024 · 2 papers](https://ror.org/05jscf583) · [🎓**University of Illinois Chicago** Chicago · United States 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/) · [🎓**University of Washington** Seattle · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 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 4 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/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [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/jingyu-zhang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts](https://md.research.elamur.ai/free/en/papers/shen-2024-language-barrier-dissecting-safety-challenges/)** *(2024 · 88 citations)* This paper asks whether the safety behaviour of large language models holds up when the same harmful request is posed in languages with little training data.
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.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts](https://md.research.elamur.ai/free/en/papers/shen-2024-language-barrier-dissecting-safety-challenges/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingfeng Shen, Weiting Tan, Sihao Chen, et al.*2024 · 88 citations*
2. **[On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ↗](https://aclanthology.org/2023.acl-long.674/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tianxing He et al.*2023 · 46 citations*
3. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoang Phan, Xianjun Yang, Yuanshun Yao, et al.*2026*

## Co-authors here

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

- [Boyuan Zheng](https://md.research.elamur.ai/free/en/authors/boyuan-zheng/)
- [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/)
- [Haoran Xu](https://md.research.elamur.ai/free/en/authors/haoran-xu/)
- [Lingfeng Shen](https://md.research.elamur.ai/free/en/authors/lingfeng-shen/)
- [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/)
- [Philipp Koehn](https://md.research.elamur.ai/free/en/authors/philipp-koehn/)
- [Shengjie Bi](https://md.research.elamur.ai/free/en/authors/shengjie-bi/)
- [Sihao Chen](https://md.research.elamur.ai/free/en/authors/sihao-chen/)
- [Weiting Tan](https://md.research.elamur.ai/free/en/authors/weiting-tan/)
- [Xianjun Yang](https://md.research.elamur.ai/free/en/authors/xianjun-yang/)
- [Yuanshun Yao](https://md.research.elamur.ai/free/en/authors/yuanshun-yao/)
- [Yunmo Chen](https://md.research.elamur.ai/free/en/authors/yunmo-chen/)

## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/cited-by/).

Updated 1 November 2026
