--- title: "Yebo Wu · University of Macau — author profile and papers" description: "Yebo Wu, University of Macau: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yebo-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yebo-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yebo Wu # Yebo Wu Yebo Wu 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 [Li Li](https://md.research.elamur.ai/free/en/authors/li-li/), [Zhijiang Guo](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5101226601) · [ORCID](https://orcid.org/0000-0002-2422-1356) · [**h-index 3**](https://openalex.org/authors/A5101226601) · [11 works](https://openalex.org/works?filter=author.id:A5101226601) · [27 citations](https://openalex.org/works?filter=author.id:A5101226601&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yebo-wu/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/yebo-wu/cited-by/) · [⭐ Paper Stars ranking: #12655](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12655) 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=Yebo+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yebo+Wu) · [dblp](https://dblp.org/search?q=Yebo+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Yebo+Wu) ## Affiliations [🎓**University of Macau** Macao · China 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-macau/) 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 · 1 work](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/yebo-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-end-end-dynamic-chain/)** *(2026 · 2 citations)* Federated fine-tuning lets LLMs be adapted to private data that never leaves user devices. However, even adapter-based approaches still require the whole model in memory, which excludes phones and other edge hardware with roughly 4–12GB. The authors show that frozen base weights, not activations or adapters, dominate… 2. **[Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation](https://md.research.elamur.ai/free/en/papers/wu-2026-spotlight-shadow-attention-guided-dual/)** *(2026)* Multimodal LLMs often hallucinate, producing text that conflicts with the image. Training-free contrastive decoding methods such as VCD and ICD reduce this, but they need an extra forward pass for a perturbed "negative" input, and that perturbation can add noise of its own. This paper proposes Dual-Anchor… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Li Li](https://md.research.elamur.ai/free/en/authors/li-li/) ×2 - [Zhijiang Guo](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/) ×2 ## 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/) ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/yebo-wu/cited-by/). Updated 2 November 2026