hierarchical representation 1large language models 1latent reasoning 1recommendation systems 1reinforcement learning 1
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cs.IR2026
Hierarchical Latent Reasoning for LLM-based Recommendation
Peiyu Hu, Siying Gu, Weihai Lu +8
The paper introduces HiLaR, a framework that uses hierarchical latent reasoning and layer-aware reinforcement optimization to improve recommendation performance of large language m…
cs.IR2025
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
Xiaoxi Cui, Weihai Lu, Yu Tong +2
In click-through rate prediction, click-through rate prediction is used to model users' interests. However, most of the existing CTR prediction methods are mainly based on the ID m…
cs.IR2025
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
Xiaoxi Cui, Weihai Lu, Yu Tong +2
The sequential recommendation system utilizes historical user interactions to predict preferences. Effectively integrating diverse user behavior patterns with rich multimodal infor…