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This work introduces VAttnPO (Visual Attention-Guided Policy Optimization), which uses answer-conditioned visual attention to refine token-level credit while preserving the verifier-derived trajectory-mean advantage to the GRPO sequence advantage.
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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