--- title: "Xuanhui Wang — author profile and papers — Elamur Research" description: "Xuanhui Wang, Google: 2 papers on Elamur Research (2024–2025), h-index 38 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xuanhui-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuanhui-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuanhui Wang # Xuanhui Wang Xuanhui Wang has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jialu Liu](https://md.research.elamur.ai/free/en/authors/jialu-liu/), [Jiaming Shen](https://md.research.elamur.ai/free/en/authors/jiaming-shen/), [Junru Wu](https://md.research.elamur.ai/free/en/authors/junru-wu/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5064608039) · [ORCID](https://orcid.org/0009-0000-1388-1423) · [Wikidata](https://www.wikidata.org/wiki/Q130867672) · [**h-index 38**](https://openalex.org/authors/A5064608039) · [133 works](https://openalex.org/works?filter=author.id:A5064608039) · [5,426 citations](https://openalex.org/works?filter=author.id:A5064608039&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xuanhui-wang/#papers) · [🔗 Cited 188 times in our library](https://md.research.elamur.ai/free/en/authors/xuanhui-wang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5307](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5307) 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=Xuanhui+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuanhui+Wang) · [dblp](https://dblp.org/search?q=Xuanhui+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Xuanhui+Wang) ## Affiliations [🏢**Google** Mountain View · United States 2016–2026 · 55 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Sun Yat-sen University** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏥**The First Affiliated Hospital, Sun Yat-sen University** Guangzhou · China 2026 · 1 paper*current*](https://ror.org/037p24858) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2004–2010 · 25 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏢**Yahoo** Sunnyvale · United States 2010–2015 · 11 papers](https://md.research.elamur.ai/free/en/companies/yahoo/) · [🏢**Meta** Menlo Park · United States 2012–2013 · 7 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**Qingdao Agricultural University** Qingdao · China 2018–2025 · 5 papers](https://ror.org/051qwcj72) · [🎓**China University of Mining and Technology** Xuzhou · China 2020–2025 · 3 papers](https://ror.org/01xt2dr21) · [🎓**Shanxi Institute of Technology** Yangquan · China 2019–2022 · 3 papers](https://ror.org/05rw1ah35) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanhui-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanhui-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting](https://md.research.elamur.ai/free/en/papers/qin-2024-large-language-models-are-effective/)** *(2024 · 300 citations)* The paper addresses why off-the-shelf LLMs have struggled to rank documents for a query as well as fine-tuned rankers. 2. **[LiPO: Listwise Preference Optimization through Learning-to-Rank](https://md.research.elamur.ai/free/en/papers/liu-2025-lipo-listwise-preference-optimization-through/)** *(2025 · 31 citations)* Most alignment methods that skip full RLHF, such as DPO and SLiC, learn only from pairs of responses. Human or reward-model feedback, however, often ranks several responses to the same prompt. The authors treat alignment as a Learning-to-Rank (LTR) problem. The prompt plays the role of a query, the sampled responses… ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting](https://md.research.elamur.ai/free/en/papers/qin-2024-large-language-models-are-effective/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Qin, Rolf Jagerman, Kai Hui, et al.*2024 · 300 citations* 2. **[Probabilistic dyadic data analysis with local and global consistency ↗](https://doi.org/10.1145/1553374.1553388) International Conference on Machine Learning · no summary yet**Deng Cai, Xuanhui Wang, Xiaofei He*2009 · 177 citations* 3. **[Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees ↗](https://openalex.org/W3129868498) International Conference on Learning Representations · no summary yet**Zhen Qin et al.*2021 · 56 citations* 4. **[LiPO: Listwise Preference Optimization through Learning-to-Rank](https://md.research.elamur.ai/free/en/papers/liu-2025-lipo-listwise-preference-optimization-through/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tianqi Liu, Zhen Qin, Junru Wu, et al.*2025 · 31 citations* 5. **[Born Again Neural Rankers. ↗](https://arxiv.org/abs/2109.15285) arXiv (Cornell University) · no summary yet**Zhen Qin et al.*2021 · 4 citations* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Jialu Liu](https://md.research.elamur.ai/free/en/authors/jialu-liu/) ×2 - [Jiaming Shen](https://md.research.elamur.ai/free/en/authors/jiaming-shen/) ×2 - [Junru Wu](https://md.research.elamur.ai/free/en/authors/junru-wu/) ×2 - [Tianqi Liu](https://md.research.elamur.ai/free/en/authors/tianqi-liu/) ×2 - [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/) ×2 - [Donald Metzler](https://md.research.elamur.ai/free/en/authors/donald-metzler/) - [Honglei Zhuang](https://md.research.elamur.ai/free/en/authors/honglei-zhuang/) - [Kai Hui](https://md.research.elamur.ai/free/en/authors/kai-hui/) - [Michael Bendersky](https://md.research.elamur.ai/free/en/authors/michael-bendersky/) - [Misha Khalman](https://md.research.elamur.ai/free/en/authors/misha-khalman/) - [Mohammad Saleh](https://md.research.elamur.ai/free/en/authors/mohammad-saleh/) - [Peter J Liu](https://md.research.elamur.ai/free/en/authors/peter-j-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) - International Conference on Learning Representations - International Conference on Machine Learning ## Cited by Papers of our library cite their works 188 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuanhui-wang/cited-by/). Updated 2 November 2026