Summary of Zigzag Diffusion Sampling: Diffusion Models Can Self-improve Via Self-reflection, by Lichen Bai et al.
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflectionby Lichen Bai, Shitong Shao, Zikai Zhou,…
Summary of Pearl: Input-agnostic Prompt Enhancement with Negative Feedback Regulation For Class-incremental Learning, by Yongchun Qin et al.
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learningby Yongchun Qin, Pengfei Fang,…
Summary of Too Big to Fool: Resisting Deception in Language Models, by Mohammad Reza Samsami et al.
Too Big to Fool: Resisting Deception in Language Modelsby Mohammad Reza Samsami, Mats Leon Richter,…
Summary of Personalized and Sequential Text-to-image Generation, by Ofir Nabati et al.
Personalized and Sequential Text-to-Image Generationby Ofir Nabati, Guy Tennenholtz, ChihWei Hsu, Moonkyung Ryu, Deepak Ramachandran,…
Summary of Svgfusion: Scalable Text-to-svg Generation Via Vector Space Diffusion, by Ximing Xing et al.
SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusionby Ximing Xing, Juncheng Hu, Jing Zhang, Dong…
Summary of Does Representation Matter? Exploring Intermediate Layers in Large Language Models, by Oscar Skean et al.
Does Representation Matter? Exploring Intermediate Layers in Large Language Modelsby Oscar Skean, Md Rifat Arefin,…
Summary of Dynamic Prompt Allocation and Tuning For Continual Test-time Adaptation, by Chaoran Cui et al.
Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptationby Chaoran Cui, Yongrui Zhen, Shuai Gong,…
Summary of Filter-then-generate: Large Language Models with Structure-text Adapter For Knowledge Graph Completion, by Ben Liu et al.
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completionby Ben Liu, Jihai Zhang,…
Summary of Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-language Models to Detect Unseen Backdoored Images, by Kyle Stein et al.
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Imagesby Kyle…
Summary of Adaptive Prompting For Continual Relation Extraction: a Within-task Variance Perspective, by Minh Le et al.
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspectiveby Minh Le, Tien Ngoc Luu,…