Wan: Open and Advanced Large-Scale Video Generative Models Paper • 2503.20314 • Published 13 days ago • 47
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation Paper • 2503.17361 • Published 18 days ago • 4
Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers Paper • 2503.00865 • Published Mar 2 • 62
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 99
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features Paper • 2502.14786 • Published Feb 20 • 140
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Paper • 2501.11873 • Published Jan 21 • 66
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 374
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Paper • 2501.13106 • Published Jan 22 • 91
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Paper • 2412.13663 • Published Dec 18, 2024 • 142
No More Adam: Learning Rate Scaling at Initialization is All You Need Paper • 2412.11768 • Published Dec 16, 2024 • 44
Byte Latent Transformer: Patches Scale Better Than Tokens Paper • 2412.09871 • Published Dec 13, 2024 • 96
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling Paper • 2408.16532 • Published Aug 29, 2024 • 51
LLM Pruning and Distillation in Practice: The Minitron Approach Paper • 2408.11796 • Published Aug 21, 2024 • 59
Chameleon: Mixed-Modal Early-Fusion Foundation Models Paper • 2405.09818 • Published May 16, 2024 • 132
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting Paper • 2404.18911 • Published Apr 29, 2024 • 31