--- title: "Kun Zhang — author profile and papers · Text generation" description: "Kun Zhang, Tencent: 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-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kun-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kun Zhang # Kun Zhang Kun Zhang has 2 papers in our library, in 2026, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Aashiq Muhamed](https://md.research.elamur.ai/free/en/authors/aashiq-muhamed/), [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/), [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139732102) · [**h-index 0**](https://openalex.org/authors/A5139732102) · [3 works](https://openalex.org/works?filter=author.id:A5139732102) · [0 citations](https://openalex.org/works?filter=author.id:A5139732102&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kun-zhang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11576](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11576) 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+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kun+Zhang) · [dblp](https://dblp.org/search?q=Kun+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Kun+Zhang) ## Affiliations [🎓**Carnegie Mellon University** Pittsburgh · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Mohamed bin Zayed University of Artificial Intelligence** Abu Dhabi · United Arab Emirates 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/mohamed-bin-zayed-university-of-artificial-intelligence/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) 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 4 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/kun-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/song-2026-mechanistic-interpretability-should-prioritize-feature/)** *(2026 · 1 citation)* Sparse autoencoders (SAEs) are a popular way to break LLM activations into sparse, human-readable features. 2. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/)** *(2026)* Generative MLLMs that interleave images and text can produce content that looks authoritative but contains factual errors. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Aashiq Muhamed](https://md.research.elamur.ai/free/en/authors/aashiq-muhamed/) - [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/) - [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/) - [Virginia Smith](https://md.research.elamur.ai/free/en/authors/virginia-smith/) - [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/) - [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026