Summary of Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model, by Zongshuo Li et al.
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Modelby Zongshuo Li, Ding Huo, Markus…
Summary of Eliminating Position Bias Of Language Models: a Mechanistic Approach, by Ziqi Wang et al.
Eliminating Position Bias of Language Models: A Mechanistic Approachby Ziqi Wang, Hanlin Zhang, Xiner Li,…
Summary of One Prompt Is Not Enough: Automated Construction Of a Mixture-of-expert Prompts, by Ruochen Wang and Sohyun An and Minhao Cheng and Tianyi Zhou and Sung Ju Hwang and Cho-jui Hsieh
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Promptsby Ruochen Wang, Sohyun An,…
Summary of Logicbreaks: a Framework For Understanding Subversion Of Rule-based Inference, by Anton Xue et al.
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inferenceby Anton Xue, Avishree Khare, Rajeev Alur,…
Summary of Personalized Federated Continual Learning Via Multi-granularity Prompt, by Hao Yu et al.
Personalized Federated Continual Learning via Multi-granularity Promptby Hao Yu, Xin Yang, Xin Gao, Yan Kang,…
Summary of Attack on Prompt: Backdoor Attack in Prompt-based Continual Learning, by Trang Nguyen et al.
Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learningby Trang Nguyen, Anh Tran, Nhat HoFirst…
Summary of Lopt: Low-rank Prompt Tuning For Parameter Efficient Language Models, by Shouchang Guo et al.
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Modelsby Shouchang Guo, Sonam Damani, Keng-hao ChangFirst…
Summary of Monitoring Latent World States in Language Models with Propositional Probes, by Jiahai Feng et al.
Monitoring Latent World States in Language Models with Propositional Probesby Jiahai Feng, Stuart Russell, Jacob…