3 papers
cs.AI2026
Memory-Aware Multi-Agent Architecture with LLM-based Orchestration for Conversational Recommendation
Emilly Pitman de Castro, Vanessa Silva, Gustavo Kanno +18
Conversational recommender systems often treat user sessions in isolation, limiting their ability to capture how user intent evolves over time. While large language models (LLMs) h…
cs.CV2026
SPACE: Semantic Projection and Alignment of CLIP Embeddings for Domain Adaptation
João Renato Ribeiro Manesco, Danilo Samuel Jodas, Douglas Rodrigues +2
A fundamental challenge in deploying vision models is domain shift, which arises when training and test data follow different distributions, leading to degraded performance. This c…
cs.CV2026
On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
Yasmin Rodrigues Sobrinho, João Renato Ribeiro Manesco, João Paulo Papa
The integration of quantum machine learning with classical deep learning offers promising avenues for medical image analysis by mapping data into high-dimensional Hilbert spaces. H…