--- title: "Zhengyang Tang — author profile and papers in our library" description: "Zhengyang Tang, Harbin Institute of Technology: 4 papers on Elamur Research (2024–2025), h-index 16 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/zhengyang-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhengyang-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhengyang Tang # Zhengyang Tang Zhengyang Tang has 4 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Benyou Wang](https://md.research.elamur.ai/free/en/authors/benyou-wang/), [Qingxiu Dong](https://md.research.elamur.ai/free/en/authors/qingxiu-dong/), [Xingxing Zhang](https://md.research.elamur.ai/free/en/authors/xingxing-zhang/). 4 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5109434969) · [**h-index 16**](https://openalex.org/authors/A5109434969) · [75 works](https://openalex.org/works?filter=author.id:A5109434969) · [921 citations](https://openalex.org/works?filter=author.id:A5109434969&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/#papers) · [🔗 Cited 312 times in our library](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/cited-by/) · [⭐ Paper Stars ranking: #5368](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5368) 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=Zhengyang+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhengyang+Tang) · [dblp](https://dblp.org/search?q=Zhengyang+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhengyang+Tang) ## Affiliations [🏢**China Yangtze Power Co., Ltd.** Wuhan · China 2019–2026 · 37 papers*current*](https://ror.org/045vsv086) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2022–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Harbin Institute of Technology** Harbin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2021–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Northeast Forestry University** Harbin · China 2024–2025 · 6 papers](https://ror.org/02yxnh564) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Shenzhen Research Institute of Big Data** Shenzhen · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-research-institute-of-big-data/) · [🎓**Sun Yat-sen University** Guangzhou · China 2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Southwestern University of Finance and Economics** Chengdu · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/southwestern-university-of-finance-and-economics/) · [🎓**Wuhan University** Wuhan · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) 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).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/year/2025/) · [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/)** *(2024 · 163 citations)* Widely used math benchmarks such as GSM8K and MATH are close to saturated. OpenAI o1 scores about 95% on MATH, so these tests no longer separate the strongest LLMs well. The authors built Omni-MATH, a text-only benchmark of 4,428 competition problems. They range from introductory contests (CEMC, HMMT) up to IMO… 2. **[MathScale: Scaling Instruction Tuning for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2024-mathscale-scaling-instruction-tuning-mathematical/)** *(2024 · 83 citations)* LLMs still have trouble with multi-step math problems. One reason is that the main training sets are small: GSM8K and MATH each have only about 7.5K examples. Earlier augmentation methods such as WizardMath and MetaMath rewrite existing questions, so their output stays close to the seed questions and is hard to… 3. **[Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-synthetic-data-almost-scratch-generalized/)** *(2024 · 65 citations)* Instruction-tuning data for LLMs is usually derived from seed prompts or existing datasets (FLAN, Self-Instruct, Evol-Instruct), so its topical range is limited by those starting points. 4. **[Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion](https://md.research.elamur.ai/free/en/papers/zhu-2025-second-language-arabic-acquisition-llms/)** *(2025 · 11 citations)* English-centric LLMs such as LLaMA2 handle Arabic poorly at the vocabulary level. Their tokenizer holds little beyond basic Arabic characters, so Arabic text splits into near-letter sequences and generation is slow. Adding many Arabic subwords at once is risky: suddenly the model sees many units it has no trained… ## Co-authors here 12 of 30 co-authors with a page, the most papers together first. - [Benyou Wang](https://md.research.elamur.ai/free/en/authors/benyou-wang/) ×2 - [Qingxiu Dong](https://md.research.elamur.ai/free/en/authors/qingxiu-dong/) ×2 - [Xingxing Zhang](https://md.research.elamur.ai/free/en/authors/xingxing-zhang/) ×2 - [Bang An](https://md.research.elamur.ai/free/en/authors/bang-an/) - [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/) - [Chaojun Wang](https://md.research.elamur.ai/free/en/authors/chaojun-wang/) - [Dongdong Zhang](https://md.research.elamur.ai/free/en/authors/dongdong-zhang/) - [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/) - [Feifan Song](https://md.research.elamur.ai/free/en/authors/feifan-song/) - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) - [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/) - [Haoyang Huang](https://md.research.elamur.ai/free/en/authors/haoyang-huang/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 312 times (of the 149,439 papers whose bibliographies we read); [105 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/cited-by/). Updated 2 November 2026