Large Language Models as Zero-Shot Conversational Recommenders

Large Language Models as Zero-Shot Conversational Recommenders

19 August 2023

Bodhisattwa Prasad Majumder

Papers citing "Large Language Models as Zero-Shot Conversational Recommenders"

19 / 19 papers shown

Title
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning J. Lin Tian Wang Kun Qian LRM 35 2 0 31 Mar 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjoo T. D. Noia 83 21 0 24 Feb 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs Yueqing Liang Liangwei Yang Chen Wang Xiongxiao Xu Philip S. Yu Kai Shu 64 6 0 21 Feb 2025
A Survey on LLM-powered Agents for Recommender Systems Qiyao Peng Hongtao Liu Hua Huang Qing Yang Minglai Shao LLMAG LRM 78 2 0 14 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 101 0 0 13 Feb 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 74 18 0 17 Jan 2025
Bridging Conversational and Collaborative Signals for Conversational Recommendation A. Rabiah Nafis Sadeq Julian McAuley 71 0 0 09 Dec 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du B. Peng Xia Ning 31 0 0 12 Oct 2024
Towards Automated Solution Recipe Generation for Industrial Asset Management with LLM Nianjun Zhou Dhaval Patel Shuxin Lin Fearghal O'Donncha 28 2 0 26 Jul 2024
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation Se-eun Yoon Hyunsik Jeon Julian McAuley 38 0 0 23 May 2024
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation Zhankui He Zhouhang Xie Harald Steck Dawen Liang Rahul Jha Nathan Kallus Julian McAuley 19 6 0 20 May 2024
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore V. W. Anelli F. Narducci T. D. Noia E. Sciascio ALM 38 27 0 07 Sep 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 61 307 0 05 Jul 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 218 2,232 0 22 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 205 1,651 0 15 Oct 2021
A Next Basket Recommendation Reality Check Ming Li Sami Jullien Mozhdeh Ariannezhad Maarten de Rijke 48 44 0 29 Sep 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020