3 papers
cs.CL2026
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
Fanyu Zhao, Ruike Cao, Liang Dong +6
Long-running LLM agents require memory that persists and evolves across sessions. Text-based memory retrieves and reconstructs past interactions at every query, making long-horizon…
cs.CV2026
Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation
Yifei Zhao, Fanyu Zhao, Zhongyuan Zhang +3
Generalized few-shot 3D point cloud segmentation aims to adapt to novel classes from only a few annotations while maintaining strong performance on base classes, but this remains c…
cs.CV2026
Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
Yifei Zhao, Fanyu Zhao, Yinsheng Li
Few-shot 3D semantic segmentation aims to generate accurate semantic masks for query point clouds with only a few annotated support examples. Existing prototype-based methods typic…