Hongcheng Gao(高鸿成) is a first-year Master student at UCAS and VIPL(ICT). He received his Bachelor's degree of Computer Science and Technology at Chongqing University in June 2023. In his undergraduate years, he was a research intern at THUNLP, advised by Prof. Zhiyuan Liu. In the early stages of his research, he worked closely with Yangyi Chen and received great help from him.
His research interests lie in trustworthy NLP, large language modeling and multi-modal learning.
🔥 News
- 2024.05: One paper accepted to ACL 2024.
- 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.
-
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models [Paper]
Zihao Zeng*, Yibo Miao*, Hongcheng Gao, Hao Zhang, Zhijie Deng. -
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities [Paper]
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng. -
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks [Paper]
Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng.
📝 Publications
* indicates equal contribution.
2024
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Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model [Paper]
Zhijie Deng*, Hongcheng Gao*, Yibo Miao, Hao Zhang.
Findings of ACL 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
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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