Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Original

Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2023 · 1910

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Language Models are Few-Shot Learners

Original

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, and Prafulla Dhariwal. 2020 · 2005

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Improving language understanding by generative pre-training

Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018

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Conversational Recommender System

Original

Yueming Sun and Yi Zhang. 2018 · 2018

Earlier work this paper cites.

Neural Graph Collaborative Filtering. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM

Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua. 2019 · 2019

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POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

Original

Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen Yang, and Ji Liu. 2021 · 2021

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PaLM: Scaling Language Modeling with Pathways

Original

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, and Paul Barham. 2022 · 2022

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M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Original

Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, and Hongxia Yang. 2022 · 2022

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LaMDA: Language Models for Dialog Applications

Original

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, and Alicia Jin. 2022 · 2022

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Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

Original

Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen herring, and Sujay Kumar Jauhar. 2023 · 2023

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TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems . ACM

Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He. 2023 · 2023

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Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models (RecSys ’23) . Association for Computing Machinery, New York, NY, USA

Dario Di Palma. 2023 · 2023

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A Survey on In-context Learning

Original

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, and Zhifang Sui. 2023 · 2023

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Enhancing Job Recommendation through LLM-based Generative Adversarial Networks

Original

Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, and Jie Zhang. 2023 · 2023

Earlier work this paper cites.

Recommender Systems in the Era of Large Language Models (LLMs)

Original

Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, and Qing Li. 2023 · 2023

Earlier work this paper cites.

A Large Language Model Enhanced Conversational Recommender System

Original

Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, and Fei Sun. 2023 · 2023

Earlier work this paper cites.

Leveraging Large Language Models in Conversational Recommender Systems

Original

Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, and Hakim. 2023 · 2023

Earlier work this paper cites.

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Original

Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023 · 2023

Earlier work this paper cites.

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt and Predict Paradigm (P5)

Original

Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2023 · 2023

Cited alongside, same era.

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders (WWW ’23) . Association for Computing Machinery, New York, NY, USA, 1162–1171

Yupeng Hou, Zhankui He, Julian McAuley, and Wayne Xin Zhao. 2023 · 2023

Cited alongside, same era.

GenRec: Large Language Model for Generative Recommendation

Original

Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, and Yongfeng Zhang. 2023 · 2023

Cited alongside, same era.

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Original

Wang-Cheng Kang, Jianmo Ni, and Nikhil Mehta. 2023 · 2023

Cited alongside, same era.

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations

Original

Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, and Xing Xie. 2023 · 2023

Later among the works it cites.

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Original

Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, and Even Oldridge. 2023 · 2023

Later among the works it cites.

Generative Job Recommendations with Large Language Model

Original

Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, and Hui Xiong. 2023 · 2023

Later among the works it cites.

Collaborative Large Language Model for Recommender Systems

Original

Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, and Jundong Li. 2023 · 2023

Later among the works it cites.