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Gaussian noise isn't enough; a new method reveals that even noise-protected embeddings can leak sensitive information.
FLEXRec shows that compact LLMs can achieve state-of-the-art recommendation accuracy without the computational burden of larger models.
LLM-aligned variable-length identifiers can revolutionize generative recommendation by providing a more nuanced and efficient representation of item semantics.
LLMs can guide the discovery of crucial structural features for routing in Mixture-of-Experts models, significantly boosting zero-shot graph anomaly detection.
