Summary of Cross-modality Debiasing: Using Language to Mitigate Sub-population Shifts in Imaging, by Yijiang Pang et al.
Cross-modality debiasing: using language to mitigate sub-population shifts in imagingby Yijiang Pang, Bao Hoang, Jiayu…
Summary of Leveraging Llms For On-the-fly Instruction Guided Image Editing, by Rodrigo Santos et al.
Leveraging LLMs for On-the-Fly Instruction Guided Image Editingby Rodrigo Santos, João Silva, António BrancoFirst submitted…
Summary of Efficient Prompt Tuning Of Large Vision-language Model For Fine-grained Ship Classification, by Long Lan et al.
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classificationby Long Lan, Fengxiang Wang,…
Summary of Mope-clip: Structured Pruning For Efficient Vision-language Models with Module-wise Pruning Error Metric, by Haokun Lin et al.
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metricby Haokun Lin, Haoli…
Summary of Matrix-transformation Based Low-rank Adaptation (mtlora): a Brain-inspired Method For Parameter-efficient Fine-tuning, by Yao Liang et al.
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuningby Yao Liang, Yuwei Wang,…
Summary of Block-wise Lora: Revisiting Fine-grained Lora For Effective Personalization and Stylization in Text-to-image Generation, by Likun Li et al.
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generationby Likun Li,…
Summary of Act-mnmt Auto-constriction Turning For Multilingual Neural Machine Translation, by Shaojie Dai et al.
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translationby Shaojie Dai, Xin Liu, Ping Luo, Yue…
Summary of Itd: Large Language Models Can Teach Themselves Induction Through Deduction, by Wangtao Sun et al.
ItD: Large Language Models Can Teach Themselves Induction through Deductionby Wangtao Sun, Haotian Xu, Xuanqing…
Summary of Bias-augmented Consistency Training Reduces Biased Reasoning in Chain-of-thought, by James Chua et al.
Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thoughtby James Chua, Edward Rees, Hunar Batra, Samuel…
Summary of Stereodiffusion: Training-free Stereo Image Generation Using Latent Diffusion Models, by Lezhong Wang et al.
StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Modelsby Lezhong Wang, Jeppe Revall Frisvad, Mark…