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T. Chua

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Open access Aug 2026

SETRec++: Scaling Order-agnostic Identifier for Large Language Model-based Generative Recommendation

A novel set identifier paradigm is introduced, representing each item as a set of order-agnostic tokens, which proves SETRec’s superior efficiency and scalability on cold-start items as model sizes increase, and SETRec++’s potential in the scalability of order-agnostic identifier.

Xin-Yu Lin, Chuan-Bo Zhang, Yu-Fan Liu et al. · 0 citations

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