--- title: "Kun Zhu · Tongji University — author profile and papers" description: "Kun Zhu, Tongji University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kun-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kun-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kun Zhu # Kun Zhu Kun Zhu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Baoxin Wang](https://md.research.elamur.ai/free/en/authors/baoxin-wang/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Dayong Wu](https://md.research.elamur.ai/free/en/authors/dayong-wu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139807107) · [**h-index 0**](https://openalex.org/authors/A5139807107) · [2 works](https://openalex.org/works?filter=author.id:A5139807107) · [0 citations](https://openalex.org/works?filter=author.id:A5139807107&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kun-zhu/#papers) · [⭐ Paper Stars ranking: #13718](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13718) 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=Kun+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kun+Zhu) · [dblp](https://dblp.org/search?q=Kun+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Kun+Zhu) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Tongji University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tongji-university/) 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 5 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/) · [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.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/kun-zhu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation](https://md.research.elamur.ai/free/en/papers/wang-2026-can-llms-really-judge-progressive/)** *(2026)* The paper argues that benchmark accuracy measures how well LLMs generate answers, not whether they can tell a sound solution from a convincing wrong one. 2. **[Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhao-2026-question-tells-you-where-answer/)** *(2026)* Long context windows make the key-value (KV) cache of large language models very expensive in GPU memory and decoding time. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Baoxin Wang](https://md.research.elamur.ai/free/en/authors/baoxin-wang/) - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) - [Dayong Wu](https://md.research.elamur.ai/free/en/authors/dayong-wu/) - [Guoping Hu](https://md.research.elamur.ai/free/en/authors/guoping-hu/) - [Jiangtong Li](https://md.research.elamur.ai/free/en/authors/jiangtong-li/) - [Lei Huang](https://md.research.elamur.ai/free/en/authors/lei-huang/) - [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/) - [Ting Liu](https://md.research.elamur.ai/free/en/authors/ting-liu/) - [Weihong Zhong](https://md.research.elamur.ai/free/en/authors/weihong-zhong/) - [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) Updated 2 November 2026