--- title: "Jingyuan Ma — author profile and papers — Elamur Research" description: "Jingyuan Ma: 2 papers on Elamur Research (2023–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jingyuan-ma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingyuan-ma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingyuan Ma # Jingyuan Ma Jingyuan Ma has 2 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Heming Xia](https://md.research.elamur.ai/free/en/authors/heming-xia/), [Rui Li](https://md.research.elamur.ai/free/en/authors/rui-li/), [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/). 2 papers in our library · 2023–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyuan-ma/#papers) · [🔗 Cited 734 times in our library](https://md.research.elamur.ai/free/en/authors/jingyuan-ma/cited-by/) · [⭐ Paper Stars ranking: #2754](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2754) 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=Jingyuan+Ma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingyuan+Ma) · [dblp](https://dblp.org/search?q=Jingyuan+Ma) · [ACL Anthology](https://aclanthology.org/search/?q=Jingyuan+Ma) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 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/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyuan-ma/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyuan-ma/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey on In-context Learning](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/)** *(2023 · 978 citations)* This survey maps the fast-growing research on in-context learning (ICL). In ICL a large language model solves a task after seeing a handful of worked examples placed in its prompt, and its weights are never updated. The authors first give a formal definition: the model scores candidate answers conditioned on a… 2. **[HAUNTATTACK: When Attack Follows Reasoning as a Shadow](https://md.research.elamur.ai/free/en/papers/ma-2026-hauntattack-when-attack-follows-reasoning/)** *(2026 · 3 citations)* Large Reasoning Models (LRMs) such as DeepSeek-R1 and o1 are strong at multi-step problem solving, but it is unclear whether this skill becomes a safety weakness when harmful intent is woven into the reasoning itself. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Heming Xia](https://md.research.elamur.ai/free/en/authors/heming-xia/) ×2 - [Rui Li](https://md.research.elamur.ai/free/en/authors/rui-li/) ×2 - [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/) - [Ce Zheng](https://md.research.elamur.ai/free/en/authors/ce-zheng/) - [Damai Dai](https://md.research.elamur.ai/free/en/authors/damai-dai/) - [Jingjing Xu](https://md.research.elamur.ai/free/en/authors/jingjing-xu/) - [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/) - [Lei Sha](https://md.research.elamur.ai/free/en/authors/lei-sha/) - [Qingxiu Dong](https://md.research.elamur.ai/free/en/authors/qingxiu-dong/) - [Tianyu Liu](https://md.research.elamur.ai/free/en/authors/tianyu-liu/) - [Xu Sun](https://md.research.elamur.ai/free/en/authors/xu-sun/) - [Zheng Li](https://md.research.elamur.ai/free/en/authors/zheng-li/) ## 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 734 times (of the 149,439 papers whose bibliographies we read); [148 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyuan-ma/cited-by/). Updated 31 October 2026