2 papers
cs.IR2026
From Item Scores to Semantic Tokens: Test-Time Collaborative Adaptation for Generative Recommendation
Xiongfeng Shan, Xing Tang, Hanchong Chen +5
Generative recommenders using semantic identifiers predict items through successive token decisions, but beam search may irreversibly prune promising item paths. This limitation is…
cs.IR2026
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
Hanchong Chen, Xing Tang, Lingjie Li +2
Agentic recommender systems ground each decision of a large language model (LLM) in a persistent memory of the user, and in existing agents that memory is text: a narrative written…