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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Chao Zhou

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Preprint Nov 2026

SourceFlow: Collaborative Source Coupling for Flow-Based Recommendation

Diffusion-based recommenders learn user preferences by denoising interaction histories, but the added noise can distort the original preference signals. Flow-based collaborative filtering (CF) instead learns a discrete path from a sampled source to the user's observed training interactions (the target history), enablin...

Cheng-Hao Wu, Yong-Qi Zhou, Jin Chen et al. · 0 citations
Book Open access Aug 2026

FLASH: Fast Generative Retrieval via Autoregressive Semantic Hashing with Provably Distance Bounds

Retrieval-Augmented Generation (RAG) relies critically on the effectiveness of its retrieval component. Dense retrieval with Approximate Nearest Neighbor (ANN) search is efficient but relies on symmetric similarity metrics that can limit the modeling of directional relevance. Generative retrieval addresses this limitat...

Yifei Zhang, Hao Zhu, Haoran Shi et al. · 0 citations
Preprint Sep 2026

ChronicleRec: Pre-training Temporally Anchored Tokens for Lifelong User Modeling

ChronicleRec is a pre-train-and-transfer framework that compresses an ultra-long behavior sequence once into a chronologically ordered set of Chronicle Tokens, which can be cached per user, decoupling ultra-long sequence modeling from online candidate scoring.

Chengkai Huang, Yu-Bin Sheng, Liang Guo et al. · 0 citations

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