--- title: "Jun-Yu Ma — author profile and papers — Elamur Research" description: "Jun-Yu Ma, University of Science and Technology of China: 2 papers on Elamur Research (2024–2026), h-index 4 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/jun-yu-ma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-yu-ma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jun-Yu Ma # Jun-Yu Ma Jun-Yu Ma 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/); often with [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/), [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/), [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5101546766) · [ORCID](https://orcid.org/0000-0001-6771-0865) · [**h-index 4**](https://openalex.org/authors/A5101546766) · [13 works](https://openalex.org/works?filter=author.id:A5101546766) · [46 citations](https://openalex.org/works?filter=author.id:A5101546766&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jun-yu-ma/#papers) · [🔗 Cited 53 times in our library](https://md.research.elamur.ai/free/en/authors/jun-yu-ma/cited-by/) · [⭐ Paper Stars ranking: #7378](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7378) 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=Jun-Yu+Ma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jun-Yu+Ma) · [dblp](https://dblp.org/search?q=Jun-Yu+Ma) · [ACL Anthology](https://aclanthology.org/search/?q=Jun-Yu+Ma) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2022–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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 2 Research subjects and languages the work is about.[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/jun-yu-ma/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jun-yu-ma/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/)** *(2024 · 67 citations)* Model editing updates facts stored in large language models without full retraining. However, it is usually judged only on whether the edit sticks, generalizes to paraphrases and leaves unrelated facts intact. This EMNLP 2024 paper asks whether such edits quietly damage the models' broader capabilities. The authors… 2. **[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/)** *(2026 · 1 citation)* Deep Research agents need more than retrieval. They must combine scattered, heterogeneous evidence through multi-step reasoning. Existing training and evaluation resources mostly reward locating a single entity, so agents learn to call tools often instead of reasoning carefully. ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/) - [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/) - [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/) - [Hongming Zhang](https://md.research.elamur.ai/free/en/authors/hongming-zhang/) - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) - [Jia-Chen Gu](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/) - [Jianshu Zhang](https://md.research.elamur.ai/free/en/authors/jianshu-zhang/) - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) - [Pan Lu](https://md.research.elamur.ai/free/en/authors/pan-lu/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) - [Tianqing Fang](https://md.research.elamur.ai/free/en/authors/tianqing-fang/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/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/) ## Cited by Papers of our library cite their works 53 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-yu-ma/cited-by/). Updated 31 October 2026