CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning
CAVE is a structured reward method for interleaved visual reasoning that evaluates intermediate steps using three signals: belief update, evidence acquisition, and adaptive focus control. This guides models to optimize each action, improving performance on tasks with fragmented visual evidence by better integrating information across spatially separated regions.