--- title: "Chunhui Zhang · Dartmouth College — author profile and papers" description: "Chunhui Zhang, Dartmouth College: 7 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/chunhui-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chunhui-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chunhui Zhang # Chunhui Zhang Chunhui Zhang has 7 papers in our library, in 2025–2026, 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/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Soroush Vosoughi](https://md.research.elamur.ai/free/en/authors/soroush-vosoughi/), [Xiangchi Yuan](https://md.research.elamur.ai/free/en/authors/xiangchi-yuan/), [Zhongyu Ouyang](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/). 7 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100390394) · [ORCID](https://orcid.org/0009-0008-4157-7582) · [**h-index 11**](https://openalex.org/authors/A5100390394) · [66 works](https://openalex.org/works?filter=author.id:A5100390394) · [506 citations](https://openalex.org/works?filter=author.id:A5100390394&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/#papers) · [🔗 Cited 39 times in our library](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/cited-by/) · [⭐ Paper Stars ranking: #9178](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9178) 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=Chunhui+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chunhui+Zhang) · [dblp](https://dblp.org/search?q=Chunhui+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Chunhui+Zhang) ## Affiliations [🎓**Dartmouth College** Hanover · United States 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/dartmouth-college/) · [🎓**North China University of Technology** Beijing · China 2023–2026 · 1 paperEducation 2023–2026 · Master, School of Artificial Intelligence and Computer Science*current*](https://md.research.elamur.ai/free/en/universities/north-china-university-of-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2000–2021 · 11 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shenzhen Institutes of Advanced Technology** Shenzhen · China 2018–2021 · 6 papers](https://md.research.elamur.ai/free/en/labs/shenzhen-institutes-of-advanced-technology/) · [🎓**Lanzhou University** Lanzhou · China 2013–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/lanzhou-university/) · [🎓**Shenzhen Technology University** Shenzhen · China 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-technology-university/) · [🎓**Shandong Jianzhu University** Jinan · China 2025 · 2 papers](https://ror.org/01gbfax37) · [🏛️**Ministry of Agriculture and Rural Affairs** Beijing · China 2024 · 2 papers](https://ror.org/05ckt8b96) · [🎓**Harbin Institute of Technology** Harbin · China 2020–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🔬**Fujian Institute of Research on the Structure of Matter** Fuzhou · China 2018–2021 · 2 papers](https://ror.org/02j89k719) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 23 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 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 5 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/year/2026/) · [**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-modality-aware-neuron-pruning-unlearning/)** *(2025 · 12 citations)* Multimodal large language models can memorize private information, and erasing it is harder than in text-only LLMs. 2. **[SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models](https://md.research.elamur.ai/free/en/papers/diao-2025-soundmind-rl-incentivized-logic-reasoning/)** *(2025 · 11 citations)* Large audio-language models (LALMs) can understand speech, but they are weak at multi-step logical reasoning. 3. **[Superficial Self-Improved Reasoners Benefit from Model Merging](https://md.research.elamur.ai/free/en/papers/yuan-2025-superficial-self-improved-reasoners-benefit/)** *(2025 · 8 citations)* Self-improvement, where a language model is fine-tuned on reasoning traces it generated itself, is often proposed as a remedy for scarce high-quality data. 4. **[Growing Through Experience: Scaling Episodic Grounding in Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-growing-through-experience-scaling-episodic/)** *(2025 · 5 citations)* The paper addresses how language models can learn from past interaction experience (episodic grounding) to plan physical, multi-step tasks. 5. **[What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/jia-2026-what-makes-good-curriculum-disentangling/)** *(2026 · 4 citations)* Curriculum learning, which sorts training examples from easy to hard, is often used to improve LLM reasoning. 6. **[Behavior Knowledge Merge in Reinforced Agentic Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-behavior-knowledge-merge-reinforced-agentic/)** *(2026 · 3 citations)* The paper tackles how to combine several agents, each specialized through reinforcement learning (RL), into one generalist model without further training. 7. **[What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context](https://md.research.elamur.ai/free/en/papers/ouyang-2026-what-makes-llms-effective-sequential/)** *(2026 · 1 citation)* LLM-based sequential recommenders are usually tuned with DPO-style alignment, which reduces user feedback to simple preferred-versus-dispreferred pairs. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Soroush Vosoughi](https://md.research.elamur.ai/free/en/authors/soroush-vosoughi/) ×6 - [Xiangchi Yuan](https://md.research.elamur.ai/free/en/authors/xiangchi-yuan/) ×5 - [Zhongyu Ouyang](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/) ×4 - [Zheyuan Liu](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/) ×3 - [Chiyu Ma](https://md.research.elamur.ai/free/en/authors/chiyu-ma/) ×2 - [Dachuan Shi](https://md.research.elamur.ai/free/en/authors/dachuan-shi/) ×2 - [Wenke Lee](https://md.research.elamur.ai/free/en/authors/wenke-lee/) ×2 - [Xingjian Diao](https://md.research.elamur.ai/free/en/authors/xingjian-diao/) ×2 - [Guangyao Dou](https://md.research.elamur.ai/free/en/authors/guangyao-dou/) - [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) - [Peijun Qing](https://md.research.elamur.ai/free/en/authors/peijun-qing/) - [Sirui Wang](https://md.research.elamur.ai/free/en/authors/sirui-wang/) ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [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/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 ## Cited by Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/cited-by/). Updated 2 November 2026