Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Paper • 2506.19103 • Published 19 days ago • 42
Listener-Rewarded Thinking in VLMs for Image Preferences Paper • 2506.22832 • Published 14 days ago • 24
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Paper • 2507.02321 • Published 9 days ago • 38
T-LoRA: Single Image Diffusion Model Customization Without Overfitting Paper • 2507.05964 • Published 4 days ago • 88
T-LoRA: Single Image Diffusion Model Customization Without Overfitting Paper • 2507.05964 • Published 4 days ago • 88
Discrete Diffusion in Large Language and Multimodal Models: A Survey Paper • 2506.13759 • Published 26 days ago • 41
DreamBoothDPO: Improving Personalized Generation using Direct Preference Optimization Paper • 2505.20975 • Published May 27 • 36
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 127 • 20
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 127 • 20
MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language Processing Paper • 2502.15381 • Published Feb 21
ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models Paper • 2505.22569 • Published May 28 • 56
FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention Paper • 2505.21144 • Published May 27 • 2
DreamBoothDPO: Improving Personalized Generation using Direct Preference Optimization Paper • 2505.20975 • Published May 27 • 36
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 127
Test-Time Reasoning Through Visual Human Preferences with VLMs and Soft Rewards Paper • 2503.19948 • Published Mar 25
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 127
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 127 • 20
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models Paper • 2506.06751 • Published Jun 7 • 72