Hongcheng Gao(高鸿成) is a first-year Master student at UCAS and VIPL(ICT). He received Bachelor's degree of Computer Science and Techology at Chongqing University in June 2023. In his undergraduate years, he was a research intern at THUNLP, advised by Prof. Zhiyuan Liu.
His research interests lie in trustworthy NLP, large language modeling and multi-modal learning.
🔥 News
- 2024.04: One paper accepted to NAACL 2024.
- 2024.01: 🎉 One paper accepted to ICLR 2024.
- 2023.09: 🎉 One paper accepted to NeurIPS 2023 (D&B Track).
- 2023.05: 🎉 One paper accepted to ACL 2023!
- 2022.10: 🎉 Two papers accepted by EMNLP 2022!
- 2022.08: 🎉 One paper accepted by NAACL 2022!
📝 Preprints
* indicates equal contribution.
- Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks [Paper]
Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng.
- Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model [Paper]
Zhijie Deng*, Hongcheng Gao*, Yibo Miao, Hao Zhang.
📝 Publications
* indicates equal contribution.
2024
-
Universal Prompt Optimizer for Safe Text-to-Image Generation [Paper]
Zongyu Wu*, Hongcheng Gao*, Yueze Wang, Xiang Zhang, Suhang Wang.
NAACL 2024 -
Generative Pretraining in Multimodality [Paper]
Quan Sun*, Qiying Yu*, Yufeng Cui*, Fan Zhang*, Xiaosong Zhang*, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang
ICLR 2024
2023
-
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations [Paper]
Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun.
NeurIPS 2023 (D&B Track) -
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework [Paper]
Yangyi Chen*, Hongcheng Gao*, Ganqu Cui*, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji.
Findings of ACL 2023.
2022
-
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP [Paper]
Yangyi Chen*, Hongcheng Gao*, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun.
EMNLP 2022. -
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks [Paper]
Yangyi Chen*, Fanchao Qi*, Hongcheng Gao, Zhiyuan Liu, Maosong Sun.
EMNLP 2022. -
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm [Paper]
Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu.
Findings of NAACL 2022.
💻 Projects
- RobTest: an open-source toolkit for textual model robustness evaluation .
- OpenAttack: an open-source Python-based textual adversarial attack toolkit.
- Emu: an open multimodal generalist for both image-to-text and text-to-image tasks.
📖 Experiences
- 2018.09 - 2023.06, Undergraduate Student at Chongqing University.
- 2021.06 - 2023.06, Intern at THUNLP, Tsinghua University. Mentor: Prof. Zhiyuan Liu