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De-Rong Xu

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#artificial intelligence Preprint Oct 2026

Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies

This work proposes a novel memory framework, named MemoType, which can adaptively recognize each memory and query type with the learned router model, and proposes a novel retrieval framework, named MemoType, which can adaptively recognize each memory and query type with the learned router model.

Yi Wen, De-Rong Xu, Peng-Yue Jia et al. · 0 citations
Preprint Aug 2026

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation

Generative Recommendation (GenRec) represents a promising paradigm that achieves remarkable empirical success by encoding items as compact Semantic IDs (SIDs) and modeling user behavior via next-token prediction across diverse recommendation scenarios. Extending this paradigm to cross-domain recommendation is challengi...

Haiying He, Xiao-Peng Li, Yuchen Gu et al. · 0 citations
Book Open access Jul 2026

ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory

Inspired by Multiple-Trace Theory in cognitive psychology, this work revisit long video understanding from a probe-echo perspective, in which human episodic memories are activated and integrated in parallel, and proposes ProEchoMem, a cognitive-inspired framework that simulates the probe-echo mechanism.

Derong Xu, Yanxin Chen, Wanyu Wang et al. · 0 citations

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