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Paper Review/Large Language Model (LLM)14

[논문리뷰] LIMA: Less Is More for Alignment LIMA: Less Is More for Alignment, In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23).  Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, and Omer Levy.https://arxiv.org/abs/2305.11206 LIMA: Less Is More for AlignmentLarge lang.. 2024. 9. 23.
[논문리뷰] PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition, Accepted at ICML 2024, Ziyang Zhang, Qizhen Zhang, Jakob Foerster https://arxiv.org/abs/2405.07932 PARDEN, Can You Repeat That? Defending against Jailbreaks via RepetitionLarge language models (LLMs) have shown success in many natural language processing tasks. Despite rigorous safety alignment processes, supposedly safety.. 2024. 9. 14.
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