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GALLM redefines sequential recommendation by seamlessly integrating collaborative signals into LLMs, achieving significant performance gains without extra complexity.
Blockchain anomaly detection gets a massive boost: TEMG-TTA leverages temporal motifs and test-time adaptation to achieve a 54.88% performance leap over existing methods.
