--- title: "Junda Wu · Adobe Systems — author profile and papers" description: "Junda Wu, Adobe Systems: 7 papers on Elamur Research (2024–2026), h-index 14 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/junda-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junda-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junda Wu # Junda Wu Junda Wu has 7 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/), [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/), [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/). 7 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5035658564) · [ORCID](https://orcid.org/0000-0001-6464-7813) · [Wikidata](https://www.wikidata.org/wiki/Q130855787) · [**h-index 14**](https://openalex.org/authors/A5035658564) · [58 works](https://openalex.org/works?filter=author.id:A5035658564) · [507 citations](https://openalex.org/works?filter=author.id:A5035658564&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/junda-wu/#papers) · [🔗 Cited 46 times in our library](https://md.research.elamur.ai/free/en/authors/junda-wu/cited-by/) · [⭐ Paper Stars ranking: #8556](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8556) 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=Junda+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junda+Wu) · [dblp](https://dblp.org/search?q=Junda+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Junda+Wu) ## Affiliations [🎓**University of California San Diego** San Diego · United States 2023–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Beijing Institute of Mathematical Sciences and Applications** Huairou 2026 · 7 papers*current*](https://ror.org/05t6hvr95) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🏢**Adobe Systems** San Jose · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**Jiangsu University** Zhenjiang · China 2020–2025 · 13 papers](https://ror.org/03jc41j30) · [🎓**New York University** New York · United States 2021–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## 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 · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/junda-wu/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/junda-wu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/junda-wu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey of Small Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2024-survey-small-language-models/)** *(2024 · 31 citations)* Large language models perform well but need heavy compute, memory and data, so they usually run on centralized, specialized hardware. 2. **[From Selection to Generation: A Survey of LLM-based Active Learning](https://md.research.elamur.ai/free/en/papers/xia-2025-selection-generation-survey-llm-based/)** *(2025 · 22 citations)* Active learning (AL) traditionally lowers labeling effort by picking the most useful unlabeled examples with metrics such as uncertainty or diversity. 3. **[WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning](https://md.research.elamur.ai/free/en/papers/mundada-2025-wildscore-benchmarking-mllms-wild-symbolic/)** *(2025 · 10 citations)* Multimodal LLMs perform well on many vision-language tasks, but it is unclear whether they can reason about sheet music. 4. **[Doc-React: Multi-page Heterogeneous Document Question-answering](https://md.research.elamur.ai/free/en/papers/wu-2025-doc-react-multi-page-heterogeneous/)** *(2025 · 6 citations)* Doc-React tackles question answering over long documents whose pages mix text, charts and images in irregular layouts. 5. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/)** *(2026)* The paper addresses indirect prompt injection, where an LLM obeys commands hidden inside supplied context (e.g., a retrieved passage) instead of answering the user's actual request. 6. **[Evaluating Language Model Pluralism through In-the-wild Crowd Discussions](https://md.research.elamur.ai/free/en/papers/mundada-2026-evaluating-language-model-pluralism-through/)** *(2026)* LLMs tuned with preference alignment often lean toward particular stances on subjective questions. Yet pluralism has mostly been tested with multiple-choice or rating formats, and the few open-ended benchmarks depend on costly crowd annotation for every new domain. The authors propose PluralEval, which builds… 7. **[SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/)** *(2026)* Multimodal LLMs often produce rationales that sound convincing but are not tied to what the image actually shows. ## Co-authors here 12 of 31 co-authors with a page, the most papers together first. - [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/) ×5 - [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/) ×4 - [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/) ×3 - [Gagan Mundada](https://md.research.elamur.ai/free/en/authors/gagan-mundada/) ×2 - [Joe Barrow](https://md.research.elamur.ai/free/en/authors/joe-barrow/) ×2 - [Lina Yao](https://md.research.elamur.ai/free/en/authors/lina-yao/) ×2 - [Ruiyi Zhang](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/) ×2 - [Ryan A. Rossi](https://md.research.elamur.ai/free/en/authors/ryan-a-rossi/) ×2 - [Ryan Aponte](https://md.research.elamur.ai/free/en/authors/ryan-aponte/) ×2 - [Xintong Li](https://md.research.elamur.ai/free/en/authors/xintong-li/) ×2 - [Zhouhang Xie](https://md.research.elamur.ai/free/en/authors/zhouhang-xie/) ×2 - [Bodhisattwa Prasad Majumder](https://md.research.elamur.ai/free/en/authors/bodhisattwa-prasad-majumder/) ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 46 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junda-wu/cited-by/). Updated 1 November 2026