--- title: "Dongyun Xue — author profile and papers — Elamur Research" description: "Dongyun Xue, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/dongyun-xue/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dongyun-xue/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dongyun Xue # Dongyun Xue Dongyun Xue has 2 papers in our library, in 2026, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Houqiang Li](https://md.research.elamur.ai/free/en/authors/houqiang-li/), [Wengang Zhou](https://md.research.elamur.ai/free/en/authors/wengang-zhou/), [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5018950191) · [ORCID](https://orcid.org/0000-0002-6985-7163) · [**h-index 3**](https://openalex.org/authors/A5018950191) · [8 works](https://openalex.org/works?filter=author.id:A5018950191) · [55 citations](https://openalex.org/works?filter=author.id:A5018950191&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dongyun-xue/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #12480](https://md.research.elamur.ai/free/en/paper-stars/page/125/#star-12480) 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=Dongyun+Xue) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dongyun+Xue) · [dblp](https://dblp.org/search?q=Dongyun+Xue) · [ACL Anthology](https://aclanthology.org/search/?q=Dongyun+Xue) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2022–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) 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 4 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/) 🧭 Topics 1 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/dongyun-xue/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Bias Fitting to Mitigate Length Bias of Reward Model in RLHF](https://md.research.elamur.ai/free/en/papers/zhao-2026-bias-fitting-mitigate-length-bias/)** *(2026 · 2 citations)* Reward models used in RLHF often give higher scores to longer answers whether or not those answers are better. 2. **[SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval](https://md.research.elamur.ai/free/en/papers/xie-2026-sga-mcts-decoupling-planning-execution/)** *(2026)* Tool-using LLM agents need multi-step planning, but the usual options involve a trade-off. Search at inference time gives deep reasoning but is slow. Fine-tuning builds skills into weights that adapt poorly when tool schemas change. SGA-MCTS avoids both by treating planning as training-free retrieval of past… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Houqiang Li](https://md.research.elamur.ai/free/en/authors/houqiang-li/) ×2 - [Wengang Zhou](https://md.research.elamur.ai/free/en/authors/wengang-zhou/) ×2 - [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/) - [Jinhua Zhu](https://md.research.elamur.ai/free/en/authors/jinhua-zhu/) - [Li Li](https://md.research.elamur.ai/free/en/authors/li-li/) - [Peng Zhang](https://md.research.elamur.ai/free/en/authors/peng-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/) ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026