-
Communicative Agents for Software Development
Paper • 2307.07924 • Published • 2 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 30 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 12
Collections
Discover the best community collections!
Collections including paper arxiv:2404.07987
-
EdgeFusion: On-Device Text-to-Image Generation
Paper • 2404.11925 • Published • 19 -
Dynamic Typography: Bringing Words to Life
Paper • 2404.11614 • Published • 40 -
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
Paper • 2404.07987 • Published • 46 -
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Paper • 2404.07724 • Published • 10
-
CodecLM: Aligning Language Models with Tailored Synthetic Data
Paper • 2404.05875 • Published • 15 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 14 -
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
Paper • 2404.07987 • Published • 46
-
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 26 -
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Paper • 2404.03653 • Published • 28 -
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
Paper • 2404.02747 • Published • 11 -
3D Congealing: 3D-Aware Image Alignment in the Wild
Paper • 2404.02125 • Published • 6
-
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Paper • 2404.02905 • Published • 59 -
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
Paper • 2404.07987 • Published • 46 -
COCONut: Modernizing COCO Segmentation
Paper • 2404.08639 • Published • 25 -
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 31