Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Paper • 2412.17153 • Published 4 days ago • 29 • 2
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Paper • 2412.17153 • Published 4 days ago • 29
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Paper • 2406.02540 • Published Jun 4 • 2
RedCode: Risky Code Execution and Generation Benchmark for Code Agents Paper • 2411.07781 • Published Nov 12 • 1
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration Paper • 2412.04440 • Published 21 days ago • 19
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration Paper • 2412.04440 • Published 21 days ago • 19
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization Paper • 2405.17873 • Published May 28 • 2
Differentially Private Synthetic Data via Foundation Model APIs 2: Text Paper • 2403.01749 • Published Mar 4
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Paper • 2309.11765 • Published Sep 21, 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Paper • 2305.15560 • Published May 24, 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Paper • 2306.11698 • Published Jun 20, 2023 • 12
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding Paper • 2307.15337 • Published Jul 28, 2023 • 36
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Paper • 2306.11698 • Published Jun 20, 2023 • 12
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding Paper • 2307.15337 • Published Jul 28, 2023 • 36