--- title: "Fan Gao · Fujian Normal University — author profile and papers" description: "Fan Gao, Fujian Normal University: 4 papers on Elamur Research (2025), h-index 17 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/fan-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fan-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fan Gao # Fan Gao Fan Gao has 4 papers in our library, in 2025, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Cheng Huang](https://md.research.elamur.ai/free/en/authors/cheng-huang/), [Nyima Tashi](https://md.research.elamur.ai/free/en/authors/nyima-tashi/), [Rui Yang](https://md.research.elamur.ai/free/en/authors/rui-yang/). 4 papers in our library · 2025 [OpenAlex](https://openalex.org/A5036632140) · [ORCID](https://orcid.org/0000-0001-9207-7635) · [**h-index 17**](https://openalex.org/authors/A5036632140) · [90 works](https://openalex.org/works?filter=author.id:A5036632140) · [1,019 citations](https://openalex.org/works?filter=author.id:A5036632140&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/fan-gao/#papers) · [🔗 Cited 80 times in our library](https://md.research.elamur.ai/free/en/authors/fan-gao/cited-by/) · [⭐ Paper Stars ranking: #6912](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6912) 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=Fan+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fan+Gao) · [dblp](https://dblp.org/search?q=Fan+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Fan+Gao) ## Affiliations [🎓**Xinjiang Agricultural University** Ürümqi · China 2020–2026 · 15 papers*current*](https://ror.org/04qjh2h11) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Nankai University** Tianjin · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🎓**Macau University of Science and Technology** Macao · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/macau-university-of-science-and-technology/) · [🏥**Chinese PLA General Hospital** Beijing · China 2026 · 1 paper*current*](https://ror.org/04gw3ra78) · [🎓**Fujian Normal University** Fuzhou · China 2026 · 1 paper*current*](https://ror.org/020azk594) · [🎓**Wuhan University** Wuhan · China 2017–2023 · 10 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**University of Pittsburgh** Pittsburgh · United States 2022–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/) · [🎓**Beijing Normal University** Beijing · China 2008–2010 · 4 papers](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🎓**PLA Army Engineering University** Nanjing · China 2024–2025 · 3 papers](https://ror.org/05mgp8x93) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 26 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 7 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) ## Works by year ### 2020s [**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/fan-gao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/xuan-2025-mmlu-prox-multilingual-benchmark-advanced/)** *(2025 · 75 citations)* Evaluating LLMs across languages has two gaps. Demanding reasoning benchmarks such as MMLU-Pro exist mainly in English. Multilingual suites like Global-MMLU combine translation sources of uneven quality and pose easier questions. The authors address both with MMLU-ProX, which carries the ten-option, reasoning-heavy… 2. **[ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA](https://md.research.elamur.ai/free/en/papers/xinjie-2025-reagent-reversible-multi-agent-reasoning/)** *(2025 · 8 citations)* Multi-hop QA requires chaining evidence from several sources. Standard LLM pipelines, including CoT prompting, retrieval-augmented generation and many multi-agent systems, move only forward. An error in an early hop carries through to the end, and contradictions found later have no structured way to force a revision.… 3. **[TLUE: A Tibetan Language Understanding Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/gao-2025-tlue-tibetan-language-understanding-evaluation/)** *(2025 · 7 citations)* Tibetan has more than seven million speakers, yet it is largely absent from LLM evaluation. The authors address this with TLUE, which they describe as the first large-scale benchmark of Tibetan language understanding. TLUE has two parts. Ti-MMLU tests general knowledge, and Ti-SafetyBench tests safety behaviour. Both… 4. **[TFD: A Comprehensive Structured Tibetan Foundation Dataset for Low-Resource Language Processing and Large-Scale Modeling](https://md.research.elamur.ai/free/en/papers/huang-2025-tfd-comprehensive-structured-tibetan-foundation/)** *(2025 · 4 citations)* Tibetan large language models trail far behind those for major languages. Raw text is scarce, but the bigger problem is that no Tibetan resource covers the full pipeline of modern model building, which spans pre-training and instruction tuning, alignment for safety, optimization of preferences, and supervision of… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Cheng Huang](https://md.research.elamur.ai/free/en/authors/cheng-huang/) ×2 - [Nyima Tashi](https://md.research.elamur.ai/free/en/authors/nyima-tashi/) ×2 - [Rui Yang](https://md.research.elamur.ai/free/en/authors/rui-yang/) ×2 - [Xiangxiang Wang](https://md.research.elamur.ai/free/en/authors/xiangxiang-wang/) ×2 - [Yutong Liu](https://md.research.elamur.ai/free/en/authors/yutong-liu/) ×2 - [Aosong Feng](https://md.research.elamur.ai/free/en/authors/aosong-feng/) - [Heli Qi](https://md.research.elamur.ai/free/en/authors/heli-qi/) - [Irene Li](https://md.research.elamur.ai/free/en/authors/irene-li/) - [Jinghui Lu](https://md.research.elamur.ai/free/en/authors/jinghui-lu/) - [Junjue Wang](https://md.research.elamur.ai/free/en/authors/junjue-wang/) - [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/) - [Weihao Xuan](https://md.research.elamur.ai/free/en/authors/weihao-xuan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×3 ## Cited by Papers of our library cite their works 80 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fan-gao/cited-by/). Updated 31 October 2026