Jun Gao
Jun Gao has 2 papers in our library, in 2019–2023, most of them on Information extraction, Text generation; often with Di He, Ruifeng Xu, Tao Qin.
OpenAlex · ORCID · Wikidata · h-index 23 · 110 works · 2,145 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 204 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4210
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Text generation · 1 workInformation extraction · 1 work
Works by year
2020s
2010s
Papers
- Representation Degeneration Problem in Training Natural Language Generation Models (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. - Exploring the Feasibility of ChatGPT for 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
- Representation Degeneration Problem in Training Natural Language Generation ModelsarXiv:1907.12009Jun Gao, Di He, Xu Tan, et al.2019 · 180 citations
- Exploring the Feasibility of ChatGPT for Event ExtractionarXiv:2303.03836Jun Gao, Huan Zhao, Changlong Yu, et al.2023 · 115 citations
- EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models ↗arXiv:2402.11430 · no summary yetJun Gao et al.2024 · 11 citations
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