--- title: "Guangnan Ye · Fudan University — author profile and papers" description: "Guangnan Ye, Fudan University: 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/guangnan-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guangnan-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guangnan Ye # Guangnan Ye Guangnan Ye has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Yuhang Zhou](https://md.research.elamur.ai/free/en/authors/yuhang-zhou/), [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Hongfeng Chai](https://md.research.elamur.ai/free/en/authors/hongfeng-chai/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139802769) · [**h-index 1**](https://openalex.org/authors/A5139802769) · [4 works](https://openalex.org/works?filter=author.id:A5139802769) · [1 citations](https://openalex.org/works?filter=author.id:A5139802769&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guangnan-ye/#papers) · [⭐ Paper Stars ranking: #13573](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13573) 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=Guangnan+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guangnan+Ye) · [dblp](https://dblp.org/search?q=Guangnan+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Guangnan+Ye) ## Affiliations [🎓**Fudan University** Shanghai · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Shanghai Innovation Institute** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/) 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.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/guangnan-ye/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL](https://md.research.elamur.ai/free/en/papers/su-2026-gqlbench-large-scale-cross-domain/)** *(2026)* NL2GQL is the task of mapping natural-language questions to graph database queries. It has lacked an evaluation resource that is large, spans many domains, and covers more than one query dialect. Earlier datasets usually target one field, such as finance or medicine, or only Cypher/nGQL, and they rely on costly… 2. **[PRISM: Probabilistic Reward Model with Inherent Structural Modeling](https://md.research.elamur.ai/free/en/papers/zhou-2026-prism-probabilistic-reward-model-inherent/)** *(2026)* Reward models and LLM judges usually reduce many human judgments to one scalar. This blurs two distinct things: legitimate disagreement between annotators who value different qualities (Subjective Preference), and low-confidence judgments caused by ambiguity or missing expertise (Epistemic Uncertainty). The authors… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Yuhang Zhou](https://md.research.elamur.ai/free/en/authors/yuhang-zhou/) ×2 - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Hongfeng Chai](https://md.research.elamur.ai/free/en/authors/hongfeng-chai/) - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) - [Xiang Liu](https://md.research.elamur.ai/free/en/authors/xiang-liu/) - [Yang Fang](https://md.research.elamur.ai/free/en/authors/yang-fang/) - [Yixin Cao](https://md.research.elamur.ai/free/en/authors/yixin-cao/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 2 November 2026