Kun Zhu
Kun Zhu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Efficient models & compression; often with Baoxin Wang, Bing Qin, Dayong Wu.
OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14
Affiliations
🎓Harbin Institute of TechnologyHarbin ·
China2026 · 1 paper🎓Tongji UniversityShanghai ·
China2026 · 1 paper
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation (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. - Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression (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
- Baoxin Wang
- Bing Qin
- Dayong Wu
- Guoping Hu
- Jiangtong Li
- Lei Huang
- Liang Zhao
- Ting Liu
- Weihong Zhong
- Xiaocheng Feng
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Updated
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