Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published 18 days ago • 87
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation Paper • 2410.13848 • Published 23 days ago • 27
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models Paper • 2409.16191 • Published Sep 24 • 41
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters Paper • 2408.17253 • Published Aug 30 • 35
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning Paper • 2408.11001 • Published Aug 20 • 11
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model Paper • 2408.11039 • Published Aug 20 • 56
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations Paper • 2408.08459 • Published Aug 15 • 44
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Paper • 2407.13623 • Published Jul 18 • 52
GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression Paper • 2407.12077 • Published Jul 16 • 54
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Paper • 2407.04842 • Published Jul 5 • 52
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Paper • 2407.02687 • Published Jul 2 • 22