3 papers
cs.CV2025
VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition
Hongbo Jin, Kuanwei Lin, Wenhao Zhang +2
Reinforcement Learning (RL) is crucial for empowering VideoLLMs with complex spatiotemporal reasoning. However, current RL paradigms predominantly rely on random data shuffling or…
eess.SY2025
Global Convergence of Policy Gradient for Entropy Regularized Linear-Quadratic Control with Multiplicative Noise
Gabriel Diaz, Lucky Li, Wenhao Zhang
Reinforcement Learning (RL) has emerged as a powerful framework for sequential decision-making in dynamic environments, particularly when system parameters are unknown. This paper…
cs.CV2025
Enhancing Long Video Question Answering with Scene-Localized Frame Grouping
Xuyi Yang, Wenhao Zhang, Hongbo Jin +5
Current Multimodal Large Language Models (MLLMs) often perform poorly in long video understanding, primarily due to resource limitations that prevent them from processing all video…