Demystifying Agent Skills: Why They Work-Until They Don't Paper • 2608.14036 • Published 6 days ago • 114
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Paper • 2608.16072 • Published 3 days ago • 142
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
Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Paper • 2605.04733 • Published Jun 3
On-Policy Distillation with Best-of-N Teacher Rollout Selection Paper • 2605.09725 • Published May 13
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model Paper • 2603.22281 • Published Mar 23 • 20
Vision Language Models Cannot Reason About Physical Transformation Paper • 2603.07109 • Published Mar 7 • 2
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
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection Paper • 2303.10840 • Published Mar 20, 2023 • 1
GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs Paper • 2412.11258 • Published Dec 15, 2024 • 13
AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond Paper • 2509.26636 • Published Sep 30, 2025 • 1