Work

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Year: 2025

Type: conference-paper

Abstract: Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Yang Liu, Geguang Pu. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.290

Authors: Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Yang Liu, Geguang Pu

Institutions: Nanyang Technological University, Sun Yat-sen University, Agency for Science, Technology and Research, New York University, East China Normal University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Research Foundation, National Research Foundation Singapore, National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G2275947126, G2471551971, G554618108, G5676270524

OpenAlex ID: W4412945708

FWCI: 0.991

Cites:

Cited by: 1

Related to: 10