--- title: "Sharon Li — author profile and papers — Elamur Research" description: "Sharon Li, University of Wisconsin–Madison: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/sharon-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sharon-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sharon Li # Sharon Li Sharon 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/); often with [Changdae Oh](https://md.research.elamur.ai/free/en/authors/changdae-oh/), [Sean Du](https://md.research.elamur.ai/free/en/authors/sean-du/), [Seongheon Park](https://md.research.elamur.ai/free/en/authors/seongheon-park/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139850868) · [**h-index 1**](https://openalex.org/authors/A5139850868) · [6 works](https://openalex.org/works?filter=author.id:A5139850868) · [1 citations](https://openalex.org/works?filter=author.id:A5139850868&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/sharon-li/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/sharon-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10667](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10667) 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=Sharon+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sharon+Li) · [dblp](https://dblp.org/search?q=Sharon+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Sharon+Li) ## Affiliations [🎓**University of Wisconsin–Madison** Madison · United States 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](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.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/sharon-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/)** *(2026 · 4 citations)* Most uncertainty quantification (UQ) work for LLMs studies a model that answers once, or follows one chain of reasoning, and gets no new information along the way. 2. **[VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation](https://md.research.elamur.ai/free/en/papers/park-2026-vauq-vision-aware-uncertainty-quantification/)** *(2026)* Large vision-language models (LVLMs) often hallucinate. Self-evaluation methods built for text-only LLMs, such as entropy, verbalized confidence, Semantic Entropy and EigenScore, mostly capture linguistic plausibility. They can therefore stay confident when an image contradicts what the language prior expects. VAUQ… 3. **[Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks](https://md.research.elamur.ai/free/en/papers/wang-2026-why-multimodal-context-learning-lags/)** *(2026)* The paper examines why in-context learning in multimodal LLMs gains less from demonstrations than text-only ICL. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations* 2. **[VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation](https://md.research.elamur.ai/free/en/papers/park-2026-vauq-vision-aware-uncertainty-quantification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.*2026* 3. **[Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks](https://md.research.elamur.ai/free/en/papers/wang-2026-why-multimodal-context-learning-lags/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Sharon Li*2026* 4. **[How Retrieved Context Shapes Internal Representations in RAG ↗](https://aclanthology.org/2026.findings-acl.758/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Samuel Yeh, Sharon Li*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Changdae Oh](https://md.research.elamur.ai/free/en/authors/changdae-oh/) ×2 - [Sean Du](https://md.research.elamur.ai/free/en/authors/sean-du/) ×2 - [Seongheon Park](https://md.research.elamur.ai/free/en/authors/seongheon-park/) ×2 - [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/) - [Hamed Hassani](https://md.research.elamur.ai/free/en/authors/hamed-hassani/) - [Jiatong Li](https://md.research.elamur.ai/free/en/authors/jiatong-li/) - [Wendi Li](https://md.research.elamur.ai/free/en/authors/wendi-li/) - [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-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 - [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/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sharon-li/cited-by/). Updated 1 November 2026