xvreason/video-reasoning-generalization-diffsyn
Updated • 1
William Li PRO
williamium
AI & ML interests
Learning AI efficiently and robustly in interactive, multi-modal and embodied environment.
Recent Activity
updated a model about 2 hours ago
xvreason/video-reasoning-generalization-diffsyn upvoted a paper about 11 hours ago
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey updated a model about 11 hours ago
unsup-opsd/ckptsOrganizations
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authored 13
papers 1 day ago
Visual Contrastive Self-Distillation
Paper • 2607.21556 • Published • 48
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
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