The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27 • 566
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Paper • 2402.17177 • Published Feb 27 • 87
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Paper • 2402.19427 • Published Feb 29 • 49
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers Paper • 2402.19479 • Published Feb 29 • 30
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches Paper • 2403.02709 • Published Mar 5 • 6
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs Paper • 2403.02775 • Published Mar 5 • 11