21 citations · 21 across the 2 of their papers we have counts for
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
SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
Xiaoxuan He, Siming Fu, Wanli Li +5
Aligning diffusion models with human preferences remains challenging, particularly when reward models are unavailable or impractical to obtain, and collecting large-scale preferenc…
cs.IR2024★ 21 cited
Towards Empathetic Conversational Recommender Systems
Xiaoyu Zhang, Ruobing Xie, Yougang Lyu +7
Conversational recommender systems (CRSs) are able to elicit user preferences through multi-turn dialogues. They typically incorporate external knowledge and pre-trained language m…