From the 1 of 5 linked papers with an AI index.
5 papers
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…
MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection
Weihai Lu, Zhejun Zhao, Yanshu Li +1
Multimodal Stance Detection (MSD) is crucial for understanding public discourse, yet effectively fusing text and image, especially with conflicting signals, remains challenging. Ex…
Retrieval-Augmented Multimodal Model for Fake News Detection
Yiheng Li, Weihai Lu, Hanyi Yu +1
In recent years, multimodal multidomain fake news detection has garnered increasing attention. Nevertheless, this direction presents two significant challenges: (1) Failure to Capt…
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…
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…