UniRec unifies heterogeneous recommendation modalities via specialized encoders, triplet representations, and hierarchical modeling to outperform prior multimodal LLM recommenders by up to 15% on benchmarks.
Molar: Multimodal llms with collaborative filtering alignment for enhanced sequential recom- mendation.arXiv preprint arXiv:2412.18176,
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UniRec: Unified Multimodal Encoding for LLM-Based Recommendations
UniRec unifies heterogeneous recommendation modalities via specialized encoders, triplet representations, and hierarchical modeling to outperform prior multimodal LLM recommenders by up to 15% on benchmarks.