1 citations · 1 across the 3 of their papers we have counts for
4 papers
FLAT: Resampling Image and Text into 1D Flexible-Length Aligned Transmodal Tokens for Retrieval and Generation
Guangyu Sun, Shlok Kumar Mishra, Wentao Bao +8
Traditional multimodal representation learning and generation are two stages: a contrastive or self-supervised visual encoder is trained first, followed by a separate downstream ge…
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
Qiang Zhang, Hanchao Yu, Ivan Ji +14
Recent years have witnessed success of sequential modeling, generative recommender, and large language model for recommendation. Though the scaling law has been validated for seque…
Controllable Coupled Image Generation via Diffusion Models
Chenfei Yuan, Nanshan Jia, Hangqi Li +2
We provide an attention-level control method for the task of coupled image generation, where "coupled" means that multiple simultaneously generated images are expected to have the…
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation
Nanshan Jia, Chenfei Yuan, Yuhang Wu +1
The fast development of Large Language Models (LLMs) offers growing opportunities to further improve sequential recommendation systems. Yet for some practitioners, integrating LLMs…