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Hongcheng Gao
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Conference and Workshop Papers
- 2024
- [c6]Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Emu: Generative Pretraining in Multimodality. ICLR 2024 - 2023
- [c5]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:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c4]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. NeurIPS 2023 - 2022
- [c3]Yangyi Chen, Fanchao Qi, Hongcheng Gao, Zhiyuan Liu, Maosong Sun:
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. EMNLP 2022: 11215-11221 - [c2]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. EMNLP 2022: 11222-11237 - [c1]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. NAACL-HLT (Findings) 2022: 1799-1810
Informal and Other Publications
- 2024
- [i10]Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
:
Universal Prompt Optimizer for Safe Text-to-Image Generation. CoRR abs/2402.10882 (2024) - [i9]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR abs/2406.12468 (2024) - [i8]Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng:
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. CoRR abs/2406.13233 (2024) - 2023
- [i7]Zhijie Deng, Hongcheng Gao, Yibo Miao, Hao Zhang:
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. CoRR abs/2305.16617 (2023) - [i6]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:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR abs/2305.18503 (2023) - [i5]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. CoRR abs/2306.04618 (2023) - [i4]Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng:
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks. CoRR abs/2306.13103 (2023) - [i3]Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Generative Pretraining in Multimodality. CoRR abs/2307.05222 (2023) - 2022
- [i2]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. CoRR abs/2204.05239 (2022) - [i1]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. CoRR abs/2210.10683 (2022)
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last updated on 2024-08-08 19:19 CEST by the dblp team
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