Quo Vadis, World Modeling?
Paper • 2608.02713 • Published • 30
ICCV2023
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williamiumÂ
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Visual Contrastive Self-Distillation
Paper • 2607.21556 • Published • 52
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
Paper • 2607.06553 • Published • 20
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs
Paper • 2605.23898 • Published • 7
Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing
Paper • 2605.04733 • Published
On-Policy Distillation with Best-of-N Teacher Rollout Selection
Paper • 2605.09725 • Published
Anisotropic Modality Align
Paper • 2605.07825 • Published • 27
CocoaBench: Evaluating Unified Digital Agents in the Wild
Paper • 2604.11201 • Published • 37
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model
Paper • 2603.22281 • Published • 20
EgoForge: Goal-Directed Egocentric World Simulator
Paper • 2603.20169 • Published • 10
Vision Language Models Cannot Reason About Physical Transformation
Paper • 2603.07109 • Published • 2
A Very Big Video Reasoning Suite
Paper • 2602.20159 • Published • 526
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Paper • 2602.12670 • Published • 65
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs
Paper • 2602.10388 • Published • 246
ldkongÂ
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