最新

• GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
• From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis
• LAMM: Label Alignment for Multi-Modal Prompt Learning
• Toward an end-to-end implicit addressee modeling for dialogue disentanglement
• iDAT: inverse Distillation Adapter-Tuning
• Toward an end-to-end implicit addressee modeling for dialogue disentanglement
• Learning to Floorplan like Human Experts via Reinforcement Learning
• Rethinking person re-identification via semantic-based pretraining
• Ege-unet: an efficient group enhanced unet for skin lesion segmentation
• LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming
• DynaSlim: Dynamic Slimming for Vision Transformers