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Harbin Engineering University
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PSMP-CLIP is proposed, integrating patch-prompt SAM2 segmentation (PPSS) and multi-semantic guided prompt regularization (MSGPR), integrating patch-prompt SAM2 segmentation (PPSS) and multi-semantic guided prompt regularization (MSGPR).
Visual intelligence could be the key to unlocking AGI, challenging the dominance of language-based models in the quest for general intelligence.
GRAFT achieves over 80% API coverage while ensuring high compilation success, outperforming existing fuzzing tools by a wide margin.
CASCADE redefines backdoor detection in multimodal learning by achieving near-perfect accuracy while effectively managing the ambiguity of poisoned samples.
Transforming fragmented XAS data into a structured dataset unlocks unprecedented opportunities for high-throughput material discovery in battery research.
