Demystifying Agent Skills: Why They Work-Until They Don't Paper • 2608.14036 • Published 6 days ago • 128
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Paper • 2608.16072 • Published 3 days ago • 143
MatrAIx: Simulating the World with 8.3 Billion Persona Agents Paper • 2608.04205 • Published 16 days ago • 47
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published 29 days ago • 193
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models Paper • 2607.06553 • Published Jul 9 • 20
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs Paper • 2605.23898 • Published May 22 • 7
Can Vision Language Models Infer Human Gaze Direction? A Controlled Study Paper • 2506.05412 • Published Jun 4, 2025 • 5
Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning Paper • 2604.04746 • Published Apr 8 • 73
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model Paper • 2603.22281 • Published Mar 23 • 21
VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding Paper • 2603.22285 • Published Mar 23 • 49
view article Article Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty? zhangchenxu • Feb 25 • 14
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks Paper • 2602.12670 • Published Feb 13 • 65
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs Paper • 2602.10388 • Published Feb 11 • 247
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning Paper • 2602.02192 • Published Feb 2 • 13