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2020 – today
- 2024
[c10]Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng:
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. ACL (Findings) 2024: 6118-6130- [c9]Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng:
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. EMNLP (Findings) 2024: 6223-6235 - [c8]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) 2024: 11071-11083 - [c7]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 - [c6]Zongyu Wu
, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang:
Universal Prompt Optimizer for Safe Text-to-Image Generation. NAACL-HLT 2024: 6340-6354 - [i15]Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang:
Universal Prompt Optimizer for Safe Text-to-Image Generation. CoRR abs/2402.10882 (2024) - [i14]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) - [i13]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) - [i12]Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu:
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR abs/2407.10956 (2024) - [i11]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024) - [i10]Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin:
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts. CoRR abs/2410.12777 (2024) - [i9]Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang:
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. CoRR abs/2411.07132 (2024) - [i8]Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida I. Wang, Tao Yu:
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. CoRR abs/2411.07763 (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 - [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
- [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 - [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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