--- title: "Jun Gao — author profile and papers · Information extraction" description: "Jun Gao, Chinese Academy of Medical Sciences & Peking Union Medical College: 2 papers on Elamur Research (2019–2023), h-index 23…" canonical: "https://research.elamur.ai/free/en/authors/jun-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jun Gao # Jun Gao Jun Gao has 2 papers in our library, in 2019–2023, most of them on [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Di He](https://md.research.elamur.ai/free/en/authors/di-he/), [Ruifeng Xu](https://md.research.elamur.ai/free/en/authors/ruifeng-xu/), [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/). 2 papers in our library · 2019–2023 [OpenAlex](https://openalex.org/A5068730597) · [ORCID](https://orcid.org/0009-0006-6830-5849) · [Wikidata](https://www.wikidata.org/wiki/Q138583235) · [**h-index 23**](https://openalex.org/authors/A5068730597) · [110 works](https://openalex.org/works?filter=author.id:A5068730597) · [2,145 citations](https://openalex.org/works?filter=author.id:A5068730597&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jun-gao/#papers) · [🔗 Cited 204 times in our library](https://md.research.elamur.ai/free/en/authors/jun-gao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4210](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4210) 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=Jun+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jun+Gao) · [dblp](https://dblp.org/search?q=Jun+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Jun+Gao) ## Affiliations [🎓**Sichuan University** Chengdu · China 2007–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Yancheng Institute of Technology** Yancheng · China 2014–2025 · 5 papers*current*](https://ror.org/04y8njc86) · [🏥**West China Hospital of Sichuan University** Chengdu · China 2023–2025 · 4 papers*current*](https://ror.org/007mrxy13) · [🏥**West China Medical Center of Sichuan University** Chengdu · China 2023–2025 · 3 papers*current*](https://ror.org/040nggs60) · [🎓**Chinese Academy of Medical Sciences & Peking Union Medical College** Beijing · China 2022–2025 · 2 papers*current*](https://ror.org/02drdmm93) · [🏥**Peking Union Medical College Hospital** Beijing · China 2022–2025 · 2 papers*current*](https://ror.org/04jztag35) · [🎓**Naval University of Engineering** Wuhan · China 2009–2020 · 11 papers](https://ror.org/056vyez31) · [🎓**Beijing Institute of Technology** Beijing · China 2012–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**Hefei University of Technology** Hefei · China 2006–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/hefei-university-of-technology/) · [🎓**Harbin Institute of Technology** Harbin · China 2021–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 29 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/) · [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/) 🧭 Topics 2 Research subjects and languages the work is about.[Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) ## Works by year ### 2020s [**2023** 1 paper Jun Gao's papers of 2023](https://md.research.elamur.ai/free/en/papers/gao-2023-exploring-feasibility-chatgpt-event-extraction/) ### 2010s [**2019** 1 paper Jun Gao's papers of 2019](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/) ## Papers The most cited first (OpenAlex and our library). 1. **[Representation Degeneration Problem in Training Natural Language Generation Models](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)** *(2019 · 180 citations)* The paper identifies a flaw in neural text generators trained by maximum likelihood with weight tying, where the input embedding matrix is shared with the softmax output layer. 2. **[Exploring the Feasibility of ChatGPT for Event Extraction](https://md.research.elamur.ai/free/en/papers/gao-2023-exploring-feasibility-chatgpt-event-extraction/)** *(2023 · 115 citations)* The paper asks whether ChatGPT can perform event extraction from a prompt alone, without task-specific training data or fine-tuning. ## All works 3 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. [**Representation Degeneration Problem in Training Natural Language Generation Models arXiv:1907.12009**Jun Gao, Di He, Xu Tan, et al.*2019 · 180 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/) 2. [**Exploring the Feasibility of ChatGPT for Event Extraction arXiv:2303.03836**Jun Gao, Huan Zhao, Changlong Yu, et al.*2023 · 115 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-exploring-feasibility-chatgpt-event-extraction/) 3. **[EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models ↗](https://arxiv.org/abs/2402.11430) arXiv:2402.11430 · no summary yet**Jun Gao et al.*2024 · 11 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Di He](https://md.research.elamur.ai/free/en/authors/di-he/) - [Ruifeng Xu](https://md.research.elamur.ai/free/en/authors/ruifeng-xu/) - [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/) - [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/) - [Xu Tan](https://md.research.elamur.ai/free/en/authors/xu-tan/) ## Cited by Papers of our library cite their works 204 times (of the 141,840 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-gao/cited-by/). Updated 24 October 2026