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+ Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging, arxiv 2023, [[paper]](https://arxiv.org/abs/2309.01026).
+ Prompt Distillation for Efficient LLM-based Recommendation, CIKM 2023, [[paper]](https://lileipisces.github.io/files/CIKM23-POD-paper.pdf), [[code]](https://github.com/lileipisces/POD).
+ Large Language Models as Zero-Shot Conversational Recommenders, CIKM 2023, [[paper]](https://arxiv.org/abs/2308.10053), [[code]](https://github.com/AaronHeee/LLMs-as-Zero-Shot-Conversational-RecSys).
+ Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation, arxiv 2023, [[paper]](https://arxiv.org/pdf/2310.09874.pdf).
+ On Generative Agents in Recommendation, arxiv 2023, [[paper]](https://arxiv.org/pdf/2310.10108.pdf), [[code]](https://github.com/LehengTHU/Agent4Rec).


### Survey
+ A Survey on Large Language Models for Recommendation, arxiv 2023, [[paper]](https://arxiv.org/abs/2305.19860).
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## Dataset
+ Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation, arvix 2023, [[paper]](https://arxiv.org/abs/2307.09688), [[KDD Cup 2023]](https://kddcup23.github.io/).
+ PixelRec: An Image Dataset for Benchmarking Recommender Systems with Raw Pixels, arvix 2023, [[paper]](https://arxiv.org/abs/2309.06789), [[link]](https://github.com/westlake-repl/PixelRec).

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