VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models Paper • 2409.17066 • Published Sep 25 • 27
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models Paper • 2409.17481 • Published Sep 26 • 46
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models Paper • 2409.17146 • Published Sep 25 • 99
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution Paper • 2409.12191 • Published Sep 18 • 73
Towards a Unified View of Preference Learning for Large Language Models: A Survey Paper • 2409.02795 • Published Sep 4 • 72
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming Paper • 2408.16725 • Published Aug 29 • 52
SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models Paper • 2408.12114 • Published Aug 22 • 11
LongVILA: Scaling Long-Context Visual Language Models for Long Videos Paper • 2408.10188 • Published Aug 19 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models Paper • 2408.08872 • Published Aug 16 • 97