Large Language Models Can Self-Improve in Long-context Reasoning Paper • 2411.08147 • Published 14 days ago • 59
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Paper • 2411.08380 • Published 14 days ago • 25
Large Language Models Can Self-Improve in Long-context Reasoning Paper • 2411.08147 • Published 14 days ago • 59
Enhancing Training Efficiency Using Packing with Flash Attention Paper • 2407.09105 • Published Jul 12 • 14
Chain of Ideas: Revolutionizing Research in Novel Idea Development with LLM Agents Paper • 2410.13185 • Published Oct 17 • 6
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published Oct 22 • 88
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective Paper • 2410.12490 • Published Oct 16 • 8
DiGIT Collection The corresponding checkpoints of [NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective • 2 items • Updated Oct 25 • 1
DiGIT Collection The corresponding checkpoints of [NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective • 2 items • Updated Oct 25 • 1
DiGIT Collection The corresponding checkpoints of [NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective • 2 items • Updated Oct 25 • 1
Inf-CL Collection The corresponding demos/checkpoints/papers/datasets of Inf-CL. • 2 items • Updated Oct 25 • 2
Inf-CL Collection The corresponding demos/checkpoints/papers/datasets of Inf-CL. • 2 items • Updated Oct 25 • 2
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published Oct 22 • 88