Chunwei Wang

Unlock multimodal interleaved generation in existing vision-language models without large interleaved datasets using a novel reinforcement learning approach with hybrid rewards.

Achieve spatially precise image edits in complex scenes by explicitly reasoning about object positions in text *before* visual grounding.