Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR
The episode discusses the paper "Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR." The hosts explore how this method improves multimodal reinforcement learning by mapping evidence regions into a target distribution, ensuring models learn from supporting visual areas. They conclude that this approach offers consistent gains across model sizes and promises more reliable, grounded AI for complex tasks.