TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning May 5, 2026· Tao Wu , Li Yang , Gen Zhan , Yabin Zhang , Yiting Liao , Junlin Li , Deliang Fu , Li Zhang Limin Wang · 0 min read Cite URL Type Conference paper Publication Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Last updated on May 5, 2026 Authors Limin Wang Nanjing University ← Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning May 5, 2026 TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs May 5, 2026 →