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cs.IR2026
History-Conditioned Joint-Prefix Alignment for Generative Recommendation
Lianjie Li, Zhiying Tu, Bolin Zhang +3
Generative recommendation retrieves items by autoregressively generating semantic identifiers, but beam search may discard a target before its complete identifier is generated. Our…
cs.IR2026
GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation
Yong Wang, Hongliang Sun, Jinlan Liu +4
Large language models (LLMs) offer new opportunities for recommendation by interpreting item descriptions, user instructions, and external knowledge through natural-language prompt…