LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs Paper • 2605.17260 • Published 10 days ago • 24
Geometric Context Transformer for Streaming 3D Reconstruction Paper • 2604.14141 • Published Apr 15 • 21
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens Paper • 2604.04913 • Published Apr 6 • 12
MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios Paper • 2603.28130 • Published Mar 30 • 11
Understanding the Challenges in Iterative Generative Optimization with LLMs Paper • 2603.23994 • Published Mar 25 • 29
Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos Paper • 2603.22529 • Published Mar 23 • 6
Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders Paper • 2603.19209 • Published Mar 19 • 6
Versatile Editing of Video Content, Actions, and Dynamics without Training Paper • 2603.17989 • Published Mar 18 • 18
Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD Paper • 2603.20155 • Published Mar 20 • 10
V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning Paper • 2603.14482 • Published Mar 15 • 35
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections Paper • 2603.12180 • Published Mar 12 • 65
LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory Paper • 2603.03269 • Published Mar 3 • 63
VidEoMT: Your ViT is Secretly Also a Video Segmentation Model Paper • 2602.17807 • Published Feb 19 • 7
Causal-JEPA: Learning World Models through Object-Level Latent Interventions Paper • 2602.11389 • Published Feb 11 • 9