3 papers
cs.LG2026
SAGA: Structure-Attended Generative Action Embedding Model that encodes Multi-Surface User Action Sequences
Tsz Fung Pang, Po Jen Chen, Nimish Ronghe +2
Prior embedding models for sequential recommendation typically operate within a homogeneous action space, limiting their ability to capture cross-surface behavioral signals spannin…
cs.CV2026
PE-CSNet: An equivariant network architecture with learnable patch-based sparse representation
Kai Li, Haitao Long, Bo Zhang +2
Compressive sensing (CS) enables accurate signal reconstruction from sparse measurements and is widely applied in medical imaging, remote sensing, and image compression. However, d…
cs.CL2026
AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search
Lin Du, Jie Zhou, Yuxuan Cai +6
Long-term memory is increasingly central to LLM agents, yet memory design remains a highly coupled architecture problem: what to encode, how to store it, how to retrieve it, and ho…