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Multimodal reinforcement learning with verifiable rewards commonly assigns one sequence advantage to an entire response. This outcome-level signal distinguishes overall response quality but leaves changes in visual-evidence use across generated tokens implicit. We introduce VAttnPO (Visual Attention-Guided Policy Optim...
This review summarizes current understanding of the cellular and molecular drivers of fibrotic tumor stroma, highlighting heterogeneous cancer-associated fibroblast (CAF) types, and provides a comprehensive framework for understanding how tumor-associated fibrosis regulates cellular immunity across cancers.
The findings offer a comprehensive genomic variation resource for O. rufipogon, supporting future genetic research and rice breeding efforts, and confirming the data’s reliability.
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