Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey

[PDF] arxiv.org

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective

Z Qin, D Chen, W Zhang, L Yao, Y Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid development of large language models (LLMs) has been witnessed in recent
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …
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[PDF] arxiv.org

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration

Y Wang, J Xun, M Hong, J Zhu, T Jin, W Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative retrieval has recently emerged as a promising approach to sequential
recommendation, framing candidate item retrieval as an autoregressive sequence …
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