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GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation. arxiv: 2304.03879 [cs.IR]  Jinming Li Wentao Zhang Tian Wang Guanglei Xiong Alan Lu and Gerard Medioni. 2023 b. GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation. arxiv: 2304.03879 [cs.IR]"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3587153","article-title":"a. A next basket recommendation reality check","volume":"41","author":"Li Ming","year":"2023","unstructured":"Ming Li , Sami Jullien , Mozhdeh Ariannezhad , and Maarten de Rijke . 2023 a. A next basket recommendation reality check . ACM Transactions on Information Systems , Vol. 41 , 4 (2023), 1 -- 29 . Ming Li, Sami Jullien, Mozhdeh Ariannezhad, and Maarten de Rijke. 2023 a. A next basket recommendation reality check. 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Self-Supervised Bot Play for Conversational Recommendation with Justifications . arXiv preprint arXiv:2112.05197 (2021). Shuyang Li, Bodhisattwa Prasad Majumder, and Julian McAuley. 2021. Self-Supervised Bot Play for Conversational Recommendation with Justifications. arXiv preprint arXiv:2112.05197 (2021)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532074"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.abq1158"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing","author":"Li Yanran","year":"2017","unstructured":"Yanran Li , Hui Su , Xiaoyu Shen , Wenjie Li , Ziqiang Cao , and Shuzi Niu . 2017 . DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset . In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing , Taipei, Taiwan, 986--995. https:\/\/aclanthology.org\/I17--1099 Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017. DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing, Taipei, Taiwan, 986--995. https:\/\/aclanthology.org\/I17--1099"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_47_1","volume-title":"ConceptNet-a practical commonsense reasoning tool-kit. BT technology journal","author":"Liu Hugo","year":"2004","unstructured":"Hugo Liu and Push Singh . 2004. ConceptNet-a practical commonsense reasoning tool-kit. BT technology journal , Vol. 22 , 4 ( 2004 ), 211--226. 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Training language models to follow instructions with human feedback. In NeurIPS. http:\/\/papers.nips.cc\/paper_files\/paper\/2022\/hash\/b1efde53be364a73914f58805a001731-Abstract-Conference.html  Long Ouyang Jeffrey Wu Xu Jiang Diogo Almeida Carroll L. Wainwright Pamela Mishkin Chong Zhang Sandhini Agarwal Katarina Slama Alex Ray John Schulman Jacob Hilton Fraser Kelton Luke Miller Maddie Simens Amanda Askell Peter Welinder Paul F. Christiano Jan Leike and Ryan Lowe. 2022. Training language models to follow instructions with human feedback. In NeurIPS. http:\/\/papers.nips.cc\/paper_files\/paper\/2022\/hash\/b1efde53be364a73914f58805a001731-Abstract-Conference.html"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412249"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532077"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_56_1","volume-title":"LaMP: When Large Language Models Meet Personalization. arXiv preprint arXiv:2304","author":"Salemi Alireza","year":"2023","unstructured":"Alireza Salemi , Sheshera Mysore , Michael Bendersky , and Hamed Zamani . 2023 . LaMP: When Large Language Models Meet Personalization. arXiv preprint arXiv:2304 .11406 (2023). Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023. LaMP: When Large Language Models Meet Personalization. arXiv preprint arXiv:2304.11406 (2023)."},{"key":"e_1_3_2_1_57_1","volume-title":"Multitask Prompted Training Enables Zero-Shot Task Generalization. In The Tenth International Conference on Learning Representations, ICLR 2022","author":"Sanh Victor","year":"2022","unstructured":"Victor Sanh , Albert Webson , Colin Raffel , Stephen H. Bach , Lintang Sutawika , Zaid Alyafeai , Antoine Chaffin , Arnaud Stiegler , Arun Raja , Manan Dey , M Saiful Bari , Canwen Xu , Urmish Thakker , Shanya Sharma Sharma , Eliza Szczechla , Taewoon Kim , Gunjan Chhablani , Nihal V. Nayak , Debajyoti Datta , Jonathan Chang , Mike Tian-Jian Jiang , Han Wang , Matteo Manica , Sheng Shen , Zheng Xin Yong , Harshit Pandey , Rachel Bawden , Thomas Wang , Trishala Neeraj , Jos Rozen , Abheesht Sharma , Andrea Santilli , Thibault F\u00e9 vry, Jason Alan Fries , Ryan Teehan , Teven Le Scao , Stella Biderman , Leo Gao , Thomas Wolf , and Alexander M. Rush . 2022 . Multitask Prompted Training Enables Zero-Shot Task Generalization. In The Tenth International Conference on Learning Representations, ICLR 2022 , Virtual Event, April 25--29 , 2022 . OpenReview.net. https:\/\/openreview.net\/forum?id=9Vrb9D0WI4 Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault F\u00e9 vry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, and Alexander M. Rush. 2022. Multitask Prompted Training Enables Zero-Shot Task Generalization. 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Advances in Neural Information Processing Systems, Vol. 35 (2022), 21831--21843.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_61_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron , Thibaut Lavril , Gautier Izacard , Xavier Martinet , Marie-Anne Lachaux , Timoth\u00e9e Lacroix , Baptiste Rozi\u00e8re , Naman Goyal , Eric Hambro , Faisal Azhar , 2023 . Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023). Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_1_62_1","unstructured":"Wenjie Wang Xinyu Lin Fuli Feng Xiangnan He and Tat-Seng Chua. 2023 a. Generative Recommendation: Towards Next-generation Recommender Paradigm. arxiv: 2304.03516 [cs.IR]  Wenjie Wang Xinyu Lin Fuli Feng Xiangnan He and Tat-Seng Chua. 2023 a. Generative Recommendation: Towards Next-generation Recommender Paradigm. arxiv: 2304.03516 [cs.IR]"},{"key":"e_1_3_2_1_63_1","volume-title":"Jingyuan Wang, and Ji-Rong Wen. 2023 b. Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. arXiv preprint arXiv:2305.13112","author":"Wang Xiaolei","year":"2023","unstructured":"Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang, and Ji-Rong Wen. 2023 b. Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. arXiv preprint arXiv:2305.13112 ( 2023 ). Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, and Ji-Rong Wen. 2023 b. Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. arXiv preprint arXiv:2305.13112 (2023)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539382"},{"key":"e_1_3_2_1_65_1","volume-title":"Oh (Eds.)","volume":"35","author":"Wei Jason","year":"2022","unstructured":"Jason Wei , Xuezhi Wang , Dale Schuurmans , Maarten Bosma , brian ichter, Fei Xia , Ed Chi , Quoc V Le , and Denny Zhou . 2022 a. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A . Oh (Eds.) , Vol. 35 . 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