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University of Amsterdam
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Current machine unlearning methods for recommender systems struggle with robustness and sequential deletions, especially in attention-based and recurrent models, highlighting a critical gap ERASE helps to expose.
Forget retraining: DOME efficiently adapts generative retrieval models to new documents by directly editing the model's docID mapping, achieving comparable performance with 40% less training.
Stop wrestling with complex pipelines: Orcheo offers a modular, full-stack platform that lets you rapidly prototype and deploy conversational search systems with 50+ pre-built components.