Diving into Self-Evolving Training for Multimodal Reasoning Paper • 2412.17451 • Published 15 days ago • 41
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search Paper • 2412.18319 • Published 14 days ago • 34
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment Paper • 2412.19326 • Published 11 days ago • 18
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis Paper • 2412.19723 • Published 10 days ago • 70
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining Paper • 2501.00958 • Published 5 days ago • 82
MLLM-as-a-Judge for Image Safety without Human Labeling Paper • 2501.00192 • Published 7 days ago • 22
Large Action Models: From Inception to Implementation Paper • 2412.10047 • Published 24 days ago • 31
Apollo: An Exploration of Video Understanding in Large Multimodal Models Paper • 2412.10360 • Published 24 days ago • 136
Smaller Language Models Are Better Instruction Evolvers Paper • 2412.11231 • Published 22 days ago • 27
Byte Latent Transformer: Patches Scale Better Than Tokens Paper • 2412.09871 • Published 25 days ago • 83
FastVLM: Efficient Vision Encoding for Vision Language Models Paper • 2412.13303 • Published 20 days ago • 13
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces Paper • 2412.14171 • Published 19 days ago • 23
Descriptive Caption Enhancement with Visual Specialists for Multimodal Perception Paper • 2412.14233 • Published 19 days ago • 6
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling Paper • 2412.15084 • Published 18 days ago • 12
Falcon3 Collection Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters. • 40 items • Updated 18 days ago • 75