--- title: "Hengyuan Zhang — author profile and papers in our library" description: "Hengyuan Zhang, University of Hong Kong: 5 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/hengyuan-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hengyuan-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hengyuan Zhang # Hengyuan Zhang Hengyuan Zhang has 5 papers in our library, in 2025–2026, 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 [Chenming Shang](https://md.research.elamur.ai/free/en/authors/chenming-shang/), [Dongdong Zhang](https://md.research.elamur.ai/free/en/authors/dongdong-zhang/), [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139808951) · [**h-index 1**](https://openalex.org/authors/A5139808951) · [4 works](https://openalex.org/works?filter=author.id:A5139808951) · [2 citations](https://openalex.org/works?filter=author.id:A5139808951&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7387](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7387) 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=Hengyuan+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hengyuan+Zhang) · [dblp](https://dblp.org/search?q=Hengyuan+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Hengyuan+Zhang) ## Affiliations [🎓**University of Hong Kong** Pok Fu Lam · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective](https://md.research.elamur.ai/free/en/papers/yu-2025-chain-reasoning-unified-mathematical-reasoning/)** *(2025 · 23 citations)* Current LLM math solvers are usually tuned for a single reasoning style. Some use natural-language chains of thought, others use executable code, and others use formal proofs. As a result, a model strong at arithmetic word problems often fails at theorem proving, and the reverse. The authors propose… 2. **[TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review](https://md.research.elamur.ai/free/en/papers/chang-2025-treereview-dynamic-tree-questions-framework/)** *(2025 · 16 citations)* Peer review is under strain from growing submission volumes. LLM-based review assistants tend to miss details buried in long papers, give shallow critiques, or, as with multi-agent systems like MARG, consume very large numbers of tokens. TreeReview addresses this by treating reviewing as question answering organised… 3. **[Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation](https://md.research.elamur.ai/free/en/papers/zhang-2026-find-your-optimal-teacher-personalized/)** *(2026 · 13 citations)* Small LLMs are usually distilled by fine-tuning them on outputs from the most powerful available teacher. Prior work shows this can backfire: very strong teachers may produce answers that are too complex or too far from what the student can absorb. Earlier remedies (Mix, CAR) still make every candidate teacher answer… 4. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/)** *(2026 · 9 citations)* Most earlier reviews of mechanistic interpretability (MI) in LLMs describe what researchers have discovered inside models. 5. **[ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework](https://md.research.elamur.ai/free/en/papers/zhang-2025-shifcon-enhancing-non-dominant-language/)** *(2025 · 6 citations)* Multilingual LLMs fine-tuned on translated data (MSFT) still lag behind in non-dominant languages compared with English. Producing more high-quality translated supervision is costly and error-prone. ShifCon addresses this by changing how the model processes these languages internally rather than by adding data. ## All works 6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective](https://md.research.elamur.ai/free/en/papers/yu-2025-chain-reasoning-unified-mathematical-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, et al.*2025 · 23 citations* 2. **[TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review](https://md.research.elamur.ai/free/en/papers/chang-2025-treereview-dynamic-tree-questions-framework/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuan Chang, Ziyue Li, Hengyuan Zhang, et al.*2025 · 16 citations* 3. **[Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation](https://md.research.elamur.ai/free/en/papers/zhang-2026-find-your-optimal-teacher-personalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.*2026 · 13 citations* 4. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.*2026 · 9 citations* 5. **[ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework](https://md.research.elamur.ai/free/en/papers/zhang-2025-shifcon-enhancing-non-dominant-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hengyuan Zhang, Chenming Shang, Sizhe Wang, et al.*2025 · 6 citations* 6. **[Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data ↗](https://aclanthology.org/2026.acl-long.1545/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shiping Yang et al.*2026* ## Co-authors here 12 of 28 co-authors with a page, the most papers together first. - [Chenming Shang](https://md.research.elamur.ai/free/en/authors/chenming-shang/) ×3 - [Dongdong Zhang](https://md.research.elamur.ai/free/en/authors/dongdong-zhang/) ×2 - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) ×2 - [Hayden Kwok-Hay So](https://md.research.elamur.ai/free/en/authors/hayden-kwok-hay-so/) ×2 - [Ngai Wong](https://md.research.elamur.ai/free/en/authors/ngai-wong/) ×2 - [Xiao Liang](https://md.research.elamur.ai/free/en/authors/xiao-liang/) ×2 - [Yiyao Yu](https://md.research.elamur.ai/free/en/authors/yiyao-yu/) ×2 - [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/) ×2 - [Chaofan Tao](https://md.research.elamur.ai/free/en/authors/chaofan-tao/) - [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/) - [Hany Awadalla](https://md.research.elamur.ai/free/en/authors/hany-awadalla/) - [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [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 58 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/cited-by/). Updated 30 October 2026