Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11 • 104
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models Paper • 2501.01986 • Published Dec 30, 2024 • 1
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Paper • 2404.02241 • Published Apr 2, 2024 • 2
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation Paper • 2506.18899 • Published Jun 23 • 6
MBQ: Modality-Balanced Quantization for Large Vision-Language Models Paper • 2412.19509 • Published Dec 27, 2024
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Paper • 2509.15591 • Published Sep 19 • 45
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Paper • 2509.15591 • Published Sep 19 • 45
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration Paper • 2412.04440 • Published Dec 5, 2024 • 22
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Paper • 2412.17153 • Published Dec 22, 2024 • 39
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Paper • 2412.17153 • Published Dec 22, 2024 • 39
A Survey on Efficient Inference for Large Language Models Paper • 2404.14294 • Published Apr 22, 2024 • 4
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding Paper • 2410.01699 • Published Oct 2, 2024 • 18
A Survey on Efficient Inference for Large Language Models Paper • 2404.14294 • Published Apr 22, 2024 • 4