Author

Da-Cheng Tao

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Preprint Oct 2026

Recall Begets Recall: Recurrent Memory Ranking for Personalized LLMs

Memory ranking is the stage in personalized Large Language Models (LLMs) that decides which of the candidate memories returned by a retriever enter the limited context, so that the answer is grounded in the right parts of the user's history. Existing memory rankers operate in a single pass, scoring each candidate once...

Peng-Yue Jia, Shi-Da Yan, Shunyu Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents

A novel recommendation agent framework, termed as ReMem, that combines OCR-based multimodal perception with time-evolving dynamic memory, which allows the agent to preserve evolving user preferences without relying on external memory modules or disrupting the standard autoregressive generation process.

Hao-Hao Qu, Yong-Cheng Jing, Chun-Hin Chan et al. · 0 citations