专题命中
其他LLM
:language model(title,abstract);LLM(abstract);large language model(abstract);分类 cs.CL
AI总结
sudoLLM通过注入用户偏见信号,实现多角色对齐的LLM,提升安全性和抗攻击能力。
CommentsAccepted to EMNLP 2025 (findings)
Journal refIn Findings of the Association for Computational Linguistics: EMNLP 2025, pages 366-384, Suzhou, China. Association for Computational Linguistics
LLM-based agents for automating the enhancement of user story quality: An early report
基于大型语言模型的代理用于自动化提升用户故事质量:早期报告
Zheying Zhang, Maruf Rayhan, Tomas Herda, Manuel Goisauf, Pekka Abrahamsson
机构
*
Princeton University, Princeton NJ 08544, USA, , WWW home page: http://users/ iekeland/web/welcome.html Universit\' e de Paris-Sud, Laboratoire d'Analyse Num\' e rique, B\ a timent 425, F-91405 Orsay Cedex, France
专题命中
其他LLM
:LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
CommentsAccepted manuscript (on August 22, 2025) to the 2nd International Workshop on Generative AI for Process Mining (GenAI4PM 2025), held in conjunction with the 7th International Conference on Process Mining (ICPM 2025)