--- title: "Tuney Zheng — author profile and papers — Elamur Research" description: "Tuney Zheng, ProQuest: 3 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/tuney-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tuney-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tuney Zheng # Tuney Zheng Tuney Zheng has 3 papers in our library, in 2024–2025, 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 [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/), [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5101388167) · [**h-index 2**](https://openalex.org/authors/A5101388167) · [15 works](https://openalex.org/works?filter=author.id:A5101388167) · [18 citations](https://openalex.org/works?filter=author.id:A5101388167&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tuney-zheng/#papers) · [🔗 Cited 160 times in our library](https://md.research.elamur.ai/free/en/authors/tuney-zheng/cited-by/) · [⭐ Paper Stars ranking: #7208](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7208) 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=Tuney+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tuney+Zheng) · [dblp](https://dblp.org/search?q=Tuney+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Tuney+Zheng) ## Affiliations [🏢**ProQuest** Ann Arbor · United States 2026 · 1 paper*current*](https://ror.org/039swsa61) · [🎓**University of Waterloo** Waterloo · Canada 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/tuney-zheng/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/tuney-zheng/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MAmmoTH2: Scaling Instructions from the Web](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/)** *(2024 · 96 citations)* Instruction tuning makes LLMs better at reasoning, but good instruction data is hard to get. Human annotation is costly and usually small in scale. Data distilled from GPT-4 tends to be narrow and can contain hallucinations. The authors argue that web pre-training corpora already contain plenty of question–answer… 2. **[MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series](https://md.research.elamur.ai/free/en/papers/zhang-2024-map-neo-highly-capable-transparent/)** *(2024 · 44 citations)* The strongest LLMs are either closed or release only weights. They keep training data, code and intermediate checkpoints private. Fully transparent alternatives such as Pythia, Amber and OLMo share these components but trail open-weight models of similar size, especially on math, coding, knowledge and non-English… 3. **[Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning](https://md.research.elamur.ai/free/en/papers/huan-2025-math-reasoning-improve-general-llm/)** *(2025 · 25 citations)* The paper asks whether the rapid gains reasoning-tuned LLMs show on math benchmarks such as MATH and AIME reflect broader problem-solving skill or narrow specialization. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) ×2 - [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/) ×2 - [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) - [Chenghua Lin](https://md.research.elamur.ai/free/en/authors/chenghua-lin/) - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jie Liu](https://md.research.elamur.ai/free/en/authors/jie-liu/) - [Minxin Du](https://md.research.elamur.ai/free/en/authors/minxin-du/) - [Radha Poovendran](https://md.research.elamur.ai/free/en/authors/radha-poovendran/) - [Seungone Kim](https://md.research.elamur.ai/free/en/authors/seungone-kim/) - [Wenhu Chen](https://md.research.elamur.ai/free/en/authors/wenhu-chen/) - [Xiaoyu Xu](https://md.research.elamur.ai/free/en/authors/xiaoyu-xu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 160 times (of the 149,439 papers whose bibliographies we read); [79 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tuney-zheng/cited-by/). Updated 3 November 2026