--- title: "Qiang Li — author profile and papers — Elamur Research" description: "Qiang Li: 3 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/qiang-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qiang-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qiang Li # Qiang Li Qiang Li has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Srikanth Patil](https://md.research.elamur.ai/free/en/authors/srikanth-patil/), [Suyash Mishra](https://md.research.elamur.ai/free/en/authors/suyash-mishra/), [Zhihua Wei](https://md.research.elamur.ai/free/en/authors/zhihua-wei/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139714922) · [**h-index 0**](https://openalex.org/authors/A5139714922) · [4 works](https://openalex.org/works?filter=author.id:A5139714922) · [0 citations](https://openalex.org/works?filter=author.id:A5139714922&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qiang-li/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/qiang-li/cited-by/) · [⭐ Paper Stars ranking: #11394](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11394) 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=Qiang+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qiang+Li) · [dblp](https://dblp.org/search?q=Qiang+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Qiang+Li) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Pharmacology · 1 work](https://md.research.elamur.ai/free/en/shelves/pharmacology-toxicology-and-pharmaceutics/pharmacology/) · [Pharmacology, Toxicology and Pharmaceutics · 1 work](https://md.research.elamur.ai/free/en/shelves/pharmacology-toxicology-and-pharmaceutics/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/qiang-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Understanding to Engagement: Personalized pharmacy Video Clips via Vision Language Models (VLMs)](https://md.research.elamur.ai/free/en/papers/mishra-2026-understanding-engagement-personalized-pharmacy-video/)** *(2026 · 1 citation)* Pharmaceutical companies produce many long videos, such as clinical trial interviews, seminars, manufacturing workflows and conference recordings. 2. **[Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement](https://md.research.elamur.ai/free/en/papers/qin-2026-mitigating-action-relation-hallucinations-lvlms/)** *(2026)* LVLMs often misdescribe what objects in an image are doing, for example claiming a woman rides a bicycle when she is actually pushing it. 3. **[Scaling Vision–Language Models for Pharmaceutical Long-Form Video Reasoning on Industrial GenAI Platform](https://md.research.elamur.ai/free/en/papers/mishra-2026-scaling-vision-language-models-pharmaceutical/)** *(2026)* Most benchmarks for vision–language models (VLMs) use short clips and assume ample compute. Pharmaceutical work is different: long trial recordings, lectures and patient-education videos must be processed under tight GPU, latency and compliance limits. The authors (Roche, Accenture, Involead) describe RICI, an… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Srikanth Patil](https://md.research.elamur.ai/free/en/authors/srikanth-patil/) ×2 - [Suyash Mishra](https://md.research.elamur.ai/free/en/authors/suyash-mishra/) ×2 - [Zhihua Wei](https://md.research.elamur.ai/free/en/authors/zhihua-wei/) ## 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/) - [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/): [ALVR 2026](https://md.research.elamur.ai/free/en/venues/alvr/2026/) - [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/): [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual 2026](https://md.research.elamur.ai/free/en/venues/customnlp4u/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/qiang-li/cited-by/). Updated 1 November 2026