788 citations · 863 across the 21 of their papers we have counts for
4 papers · 1 filter
MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models
Haohang Huang, Xuan Lu, Mingyi Su +9
Multimodal embedding models aim to map heterogeneous inputs, such as text, images, videos, and audio, into a shared semantic space. However, existing methods and benchmarks remain…
RecMind: Large Language Model Powered Agent For Recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen +7
While the recommendation system (RS) has advanced significantly through deep learning, current RS approaches usually train and fine-tune models on task-specific datasets, limiting…
PALR: Personalization Aware LLMs for Recommendation
Fan Yang, Zheng Chen, Ziyan Jiang +3
Large language models (LLMs) have recently received significant attention for their exceptional capabilities. Despite extensive efforts in developing general-purpose LLMs that can…
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
Elan Markowitz, Ziyan Jiang, Fan Yang +4
This work explores unifying knowledge enhanced recommendation with multi-domain recommendation systems in a conversational AI assistant application. Multi-domain recommendation lev…