T-LoRA: Single Image Diffusion Model Customization Without Overfitting Paper • 2507.05964 • Published 4 days ago • 88
Listener-Rewarded Thinking in VLMs for Image Preferences Paper • 2506.22832 • Published 14 days ago • 24
Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Paper • 2506.19103 • Published 19 days ago • 42
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
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models Paper • 2506.06751 • Published Jun 7 • 72
ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models Paper • 2505.22569 • Published May 28 • 56
Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA Paper • 2505.21115 • Published May 27 • 135
Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts Paper • 2506.05229 • Published Jun 5 • 37
Exploring the Latent Capacity of LLMs for One-Step Text Generation Paper • 2505.21189 • Published May 27 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders Paper • 2503.18878 • Published Mar 24 • 120
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation Paper • 2503.16660 • Published Mar 20 • 73
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation Paper • 2503.13358 • Published Mar 17 • 96
GHOST 2.0: generative high-fidelity one shot transfer of heads Paper • 2502.18417 • Published Feb 25 • 67
LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers Paper • 2502.15007 • Published Feb 20 • 175
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? Paper • 2502.14502 • Published Feb 20 • 91
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity Paper • 2502.13063 • Published Feb 18 • 73