2 papers
eess.IV2026
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
Xiang Li, Xueheng Li, Yu Wang +4
Reinforcement Learning (RL) has empowered Multimodal Large Language Models (MLLMs) to achieve superior human preference alignment in Image Quality Assessment (IQA). However, existi…
cs.LG2026
: Online RL Fine-tuning for Flow-based Vision-Language-Action Models
Kang Chen, Zhihao Liu, Tonghe Zhang +11
Vision-Language-Action (VLA) models enable robots to understand and perform complex tasks from multimodal input. Although recent work explores using reinforcement learning (RL) to…