--- title: "Xiao Yang — author profile and papers — Elamur Research" description: "Xiao Yang: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiao-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiao-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiao Yang # Xiao Yang Xiao Yang has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/); often with [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/), [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/), [Jingyuan Li](https://md.research.elamur.ai/free/en/authors/jingyuan-li/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139764610) · [**h-index 1**](https://openalex.org/authors/A5139764610) · [2 works](https://openalex.org/works?filter=author.id:A5139764610) · [1 citations](https://openalex.org/works?filter=author.id:A5139764610&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiao-yang/#papers) · [⭐ Paper Stars ranking: #13184](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13184) 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=Xiao+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiao+Yang) · [dblp](https://dblp.org/search?q=Xiao+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Xiao+Yang) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [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/xiao-yang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Enhanced Reasoning for Biomedical Document-Level Relation Extraction via a Novel Cascade Language Model Framework](https://md.research.elamur.ai/free/en/papers/song-2026-enhanced-reasoning-biomedical-document-level/)** *(2026 · 1 citation)* Extracting relations between biomedical entities across a whole document is harder than doing it within one sentence. 2. **[Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasoning-as-gradient-scaling-mle/)** *(2026)* Most LLM agents for machine learning engineering (MLE) improve solutions through tree or graph search. They reduce rich execution feedback to a scalar score and use it only to decide which candidate to keep. The authors argue that this is a gradient-free approach. It wastes diagnostic information that strong… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/) - [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/) - [Jingyuan Li](https://md.research.elamur.ai/free/en/authors/jingyuan-li/) - [Xu Yang](https://md.research.elamur.ai/free/en/authors/xu-yang/) - [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) - [Yuge Zhang](https://md.research.elamur.ai/free/en/authors/yuge-zhang/) ## 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 2 November 2026