Author

Lingyi Li

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Preprint Aug 2026

When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems

CoVeMem (Collaborative Vector Memory) is proposed, which vectorizes the collaborative core of the agent's memory and takes gradients: the full interaction history, out of reach for text, becomes available as training data for what the agent remembers and for how it reads what it remembers.

Hanting Chen, Xing Tang, Ling-Jie Li et al. · 0 citations

Preprint Aug 2026

RippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent Memory

RippleMem is a long-term memory system that replaces one-shot retrieval with adaptive associative recollection, Inspired by cue-dependent episodic retrieval and associative completion, that stores interaction history as cue-rich episodic memory units and organizes them in an event-centric memory graph.

Jingbo Ji, Lingyi Li, Xi-Long Cheng et al. · 2 citations