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Large language models (LLM) have recently emerged as a powerful tool for a variety of natural language processing tasks, bringing a new surge of combining LLM with recommendation systems, termed as LLM-based RS.
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Chat-rec: Towards interactive and explainable llms-augmented recommender system
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VIP5: Towards Multimodal Foundation Models for Recommendation
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Large language models are zero-shot rankers for recommender systems
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Language is not all you need: Aligning perception with language models
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A review on methods and applications in multimodal deep learning
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Llama: Open and efficient foundation language models
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A Survey on Large Language Models for Recommendation
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What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
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