3 papers
cs.IR2025
HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
Yu Cui, Feng Liu, Jiawei Chen +6
Recent years have witnessed a surge of research on leveraging large language models (LLMs) for sequential recommendation. LLMs have demonstrated remarkable potential in inferring u…
cs.CV2025
MamFusion: Multi-Mamba with Temporal Fusion for Partially Relevant Video Retrieval
Xinru Ying, Jiaqi Mo, Jingyang Lin +3
Partially Relevant Video Retrieval (PRVR) is a challenging task in the domain of multimedia retrieval. It is designed to identify and retrieve untrimmed videos that are partially r…
cs.LG2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
Daiwei Yu, Zhuorong Li, Lina Wei +3
Adversarial training (AT) is currently one of the most effective ways to obtain the robustness of deep neural networks against adversarial attacks. However, most AT methods suffer…