Deep Learning
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
Sequential recommender systems are designed to capture users' evolving interests
QA: What's the Answer Right Now?
We build strong baseline models upon large pretrained language models, including GPT -3 and T5. Our benchmark is an ongoing effort, and this paper presents real-time evaluation results over the past year.
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration Yihe Deng Chenchen Y e Zijie Huang Mingyu Derek Ma Yiwen Kou Wei Wang University of California, Los Angeles
The rapid evolution of large language models (LLMs) has expanded their capabilities across various data modalities, extending from well-established image data to increasingly popular graph data.
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning
To address these challenges, we present UniFL, a unified framework that leverages feedback learning to enhance diffusion models comprehensively.