Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11 • 104
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation Paper • 2510.21003 • Published Oct 23 • 7
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation Paper • 2510.21003 • Published Oct 23 • 7 • 2
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation Paper • 2510.21003 • Published Oct 23 • 7 • 2
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation Paper • 2510.21003 • Published Oct 23 • 7
Cache-to-Cache: Direct Semantic Communication Between Large Language Models Paper • 2510.03215 • Published Oct 3 • 97
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Paper • 2509.15591 • Published Sep 19 • 45 • 5
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation Paper • 2506.18899 • Published Jun 23 • 6
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Paper • 2509.10696 • Published Sep 12
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
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Paper • 2509.15591 • Published Sep 19 • 45 • 5
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Paper • 2505.21600 • Published May 27 • 71
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Paper • 2503.14827 • Published Mar 19