--- title: "Kangtao Lv · Alibaba Group — author profile and papers" description: "Kangtao Lv, Alibaba Group: 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/kangtao-lv/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kangtao-lv/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kangtao Lv # Kangtao Lv Kangtao Lv 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/); often with [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Haibin Chen](https://md.research.elamur.ai/free/en/authors/haibin-chen/), [Langming Liu](https://md.research.elamur.ai/free/en/authors/langming-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5036074002) · [ORCID](https://orcid.org/0009-0002-7013-1746) · [**h-index 0**](https://openalex.org/authors/A5036074002) · [9 works](https://openalex.org/works?filter=author.id:A5036074002) · [0 citations](https://openalex.org/works?filter=author.id:A5036074002&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kangtao-lv/#papers) · [⭐ Paper Stars ranking: #12077](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12077) 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=Kangtao+Lv) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kangtao+Lv) · [dblp](https://dblp.org/search?q=Kangtao+Lv) · [ACL Anthology](https://aclanthology.org/search/?q=Kangtao+Lv) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏢**Alibaba Group** San Mateo · United States 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) 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 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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/kangtao-lv/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning](https://md.research.elamur.ai/free/en/papers/liu-2026-pretrainrl-alleviating-factuality-hallucination-large/)** *(2026)* The paper addresses factual hallucinations in LLMs, meaning confident statements that can be checked and shown false. 2. **[SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification](https://md.research.elamur.ai/free/en/papers/tong-2026-selecting-over-tokens-curating-pre/)** *(2026)* Web-scraped pre-training corpora contain a lot of boilerplate and noise. Standard cleaning pipelines use document-level heuristics that can only keep or drop whole pages. Generative token-level refiners such as ProX-C are finer-grained but slow at scale and may hallucinate edits. The authors propose SelecT, which… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) ×2 - [Haibin Chen](https://md.research.elamur.ai/free/en/authors/haibin-chen/) ×2 - [Langming Liu](https://md.research.elamur.ai/free/en/authors/langming-liu/) ×2 - [Shilei Liu](https://md.research.elamur.ai/free/en/authors/shilei-liu/) ×2 - [Weidong Zhang](https://md.research.elamur.ai/free/en/authors/weidong-zhang/) ×2 - [Wenbo Su](https://md.research.elamur.ai/free/en/authors/wenbo-su/) ×2 - [Xin Tong](https://md.research.elamur.ai/free/en/authors/xin-tong/) ×2 - [Yujin Yuan](https://md.research.elamur.ai/free/en/authors/yujin-yuan/) ×2 - [Jiaang Li](https://md.research.elamur.ai/free/en/authors/jiaang-li/) ## 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 1 November 2026