Hongcheng Gao

120

20222023202411 105 94

Zhiyuan LiuAssociate Professor, Tsinghua UniversityEmail confirmado em tsinghua.edu.cn
Yangyi ChenUniversity of Illinois Urbana-ChampaignEmail confirmado em illinois.edu
Ganqu CuiTsinghua UniversityEmail confirmado em mails.tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityEmail confirmado em tsinghua.edu.cn
Fanchao QiDeepLang AIEmail confirmado em deeplang.ai
Heng JiProfessor of Computer Science, University of Illinois Urbana-Champaign, Amazon ScholarEmail confirmado em illinois.edu
Lei XuAmazon AWS AIEmail confirmado em mit.edu
Hao ZhangUC San DiegoEmail confirmado em ucsd.edu
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityEmail confirmado em sjtu.edu.cn
Yinpeng DongTsinghua UniversityEmail confirmado em mails.tsinghua.edu.cn
Zongyu WuPennsylvania State UniversityEmail confirmado em psu.edu
Suhang WangPennsylvania State UniversityEmail confirmado em psu.edu

Hongcheng Gao

Email confirmado em mails.ucas.ac.cn - Página inicial


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Generative pretraining in multimodality Q Sun, Q Yu, Y Cui, F Zhang, X Zhang, Y Wang, H Gao, J Liu, T Huang, ... ICLR, 2024	82	2024
Exploring the universal vulnerability of prompt-based learning paradigm L Xu, Y Chen, G Cui, H Gao, Z Liu Findings of NAACL, 2022	54	2022
Why should adversarial perturbations be imperceptible? rethink the research paradigm in adversarial NLP Y Chen, H Gao, G Cui, F Qi, L Huang, Z Liu, M Sun EMNLP, 2022	22	2022
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations L Yuan, Y Chen, G Cui, H Gao, F Zou, X Cheng, H Ji, Z Liu, M Sun NeurIPS (Dataset and Benchmark Track) 36, 2023	21	2023
Textual backdoor attacks can be more harmful via two simple tricks Y Chen, F Qi, H Gao, Z Liu, M Sun EMNLP, 2022	10	2022
Efficient detection of LLM-generated texts with a Bayesian surrogate model Z Deng, H Gao, Y Miao, H Zhang Findings of ACL, 2024	9	2024
Evaluating the robustness of text-to-image diffusion models against real-world attacks H Gao, H Zhang, Y Dong, Z Deng arXiv preprint arXiv:2306.13103, 2023	8	2023
From adversarial arms race to model-centric evaluation: Motivating a unified automatic robustness evaluation framework Y Chen, H Gao, G Cui, L Yuan, D Kong, H Wu, N Shi, B Yuan, L Huang, ... Findings of ACL, 2023	4	2023
Universal Prompt Optimizer for Safe Text-to-Image Generation Z Wu, H Gao, Y Wang, X Zhang, S Wang NAACL, 2024		2024

O sistema não pode efectuar a operação agora. Tente mais tarde.

Artigos 1–9

Citações por ano