Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model Paper • 2607.24904 • Published 18 days ago • 37
view article Article Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community ResterChed • 28 days ago • 195
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Paper • 2607.19064 • Published 24 days ago • 77
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding Paper • 2607.14935 • Published 29 days ago • 172
Video Generation Models are General-Purpose Vision Learners Paper • 2607.09024 • Published Jul 10 • 87
From Pixels to Words -- Towards Native One-Vision Models at Scale Paper • 2605.28820 • Published May 27 • 76
FileGram: Grounding Agent Personalization in File-System Behavioral Traces Paper • 2604.04901 • Published Apr 6 • 40
HippoCamp: Benchmarking Contextual Agents on Personal Computers Paper • 2604.01221 • Published Apr 1 • 30
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification Paper • 2603.15726 • Published Mar 16 • 187
HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions Paper • 2603.15612 • Published Mar 16 • 152
view article Article NEO-unify: Building Native Multimodal Unified Models End to End sensenova • Mar 5 • 175
ArtHOI: Articulated Human-Object Interaction Synthesis by 4D Reconstruction from Video Priors Paper • 2603.04338 • Published Mar 4 • 24
UniG2U-Bench: Do Unified Models Advance Multimodal Understanding? Paper • 2603.03241 • Published Mar 3 • 88
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling Paper • 2602.12279 • Published Feb 12 • 20
OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence Paper • 2602.08683 • Published Feb 9 • 52
NEO1_0 Collection From Pixels to Words -- Towards Native Vision-Language Primitives at Scale • 7 items • Updated Jan 27 • 10