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Found 2 papers, 1 papers with code
Diffusion-based Contrastive Learning for Sequential Recommendation
Given a user sequence, our method selects certain positions and employs a context-aware diffusion model to generate alternative items for these positions with the guidance of context information.
Evolve Cost-aware Acquisition Functions Using Large Language Models
Many real-world optimization scenarios involve expensive evaluation with unknown and heterogeneous costs.
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