Chengyue Gong
Chengyue Gong has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining; often with Xingchao Liu, Qiang Liu, Shujian Zhang.
OpenAlex · ORCID · h-index 21 · 61 works · 1,562 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 362 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #4532
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksPhysics and Astronomy · 1 workComputer Vision and Pattern Recognition · 1 workStatistical and Nonlinear Physics · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow (2022 · 315 citations)
Many learning tasks reduce to finding a map that carries one distribution onto another: generating images from noise, translating between image domains, or adapting a model to shifted test data. - AutoML-GPT: Automatic Machine Learning with GPT (2023 · 52 citations)
Selecting a model architecture, optimizer and hyperparameters for a new task still takes considerable manual effort.
All works
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowarXiv:2209.03003Xingchao Liu, Chengyue Gong, Qiang Liu2022 · 315 citations
- SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetMao Ye, Chengyue Gong, Qiang Liu2020 · 124 citations
- Knowing More About Questions Can Help: Improving Calibration in Question Answering ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetShujian Zhang, Chengyue Gong, Eunsol Choi2021 · 57 citations
- AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
- Learning with Different Amounts of Annotation: From Zero to Many Labels ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetShujian Zhang, Chengyue Gong, Eunsol Choi2021 · 45 citations
- Capturing Label Distribution: A Case Study in NLI ↗arXiv (Cornell University) · no summary yetShujian Zhang, Chengyue Gong, Eunsol Choi2021 · 9 citations
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Cited by
Updated
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