Paper Title,Author(s),Year,Published at,Reference Link/DOI
Large Language Models as Zero-Shot Conversational Recommenders.,"Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley",2023,CIKM,https://doi.org/10.1145/3583780.3614949
Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems.,"Ting Yang, Li Chen",2024,RecSys,https://doi.org/10.1145/3640457.3688146
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.,"Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian",2023,EMNLP Findings,https://aclanthology.org/2023.findings-emnlp.86/
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems.,"Ivica Kostric, Krisztian Balog, Filip Radlinski",2024,ACM TORS,https://doi.org/10.1145/3629981
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation.,"Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz",2023,EMNLP Findings,https://aclanthology.org/2023.findings-emnlp.233/
Large Language Models as Conversational Movie Recommenders: A User Study.,"Ruixuan Sun, Xinyi Li, Avinash Akella, Joseph A. Konstan",2024,CoRR,https://doi.org/10.48550/arXiv.2404.19093
Leveraging LLM Reasoning Enhances Personalized Recommender Systems.,"Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed Huai-hsin Chi, Xinyang Yi",2024,ACL,https://aclanthology.org/2024.findings-acl.780/
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs.,"Ulysse Maes, Lien Michiels, Annelien Smets",2024,RecSys,https://doi.org/10.1145/3640457.3691697
Conversational Recommender Systems based on Extracting Implicit Preferences with Large Language Models.,"Woo-Seok Kim, Wooseung Kang, Hye-Jin Jeong, Suwon Lee, Chie Hoon Song, Sang-Min Choi",2024,KaRS@RecSys,https://ceur-ws.org/Vol-3817/short2.pdf
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking.,"Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner",2024,SIGIR,https://doi.org/10.1145/3626772.3657670
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models.,"Xiaolei Wang, Xinyu Tang, Xin Zhao 0018, Jingyuan Wang, Ji-Rong Wen",2023,EMNLP,https://doi.org/10.18653/v1/2023.emnlp-main.621
UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining.,"Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang",2023,World Wide Web,https://doi.org/10.1007/s11280-023-01219-2
Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation.,"Huy Dao, Yang Deng, Dung D. Le, Lizi Liao",2024,SIGIR,https://doi.org/10.1145/3626772.3657755
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation.,"Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor",2024,ECIR,https://doi.org/10.1007/978-3-031-56063-7_23
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.,"Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley",2024,NAACL-HLT,https://doi.org/10.18653/v1/2024.naacl-long.83
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets,"Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He",2023,ACL,https://doi.org/10.18653/v1/2023.findings-acl.670
MACR: Multi-information Augmented Conversational Recommender.,"Chengyang Zhang, Xianying Huang, Jiahao An",2023,Expert Syst. Appl.,https://doi.org/10.1016/j.eswa.2022.118981
UCRI: A Unified Conversational Recommender System Based on Item-Guided Conditional Generation.,"Xi Chen, Yuehai Wang, Jianyi Yang",2024,IEEE Intell. Syst.,https://doi.org/10.1109/MIS.2023.3330367
Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison.,"Ahtsham Manzoor, Dietmar Jannach",2021,RecSys,https://doi.org/10.1145/3460231.3475942
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue.,"Yuanxing Liu, Weinan Zhang, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che",2023,EMNLP,https://doi.org/10.18653/v1/2023.findings-emnlp.643
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems. It is not bad but very Google aligned and already outdated wrt models & reproducibility -- maybe we can use it more as an auxiliary paper for the dataset generation.,"Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski, Kun Su, Liam Hebert, Hubert Pham, Ambarish Jash, Sukhdeep S. Sodhi",2025,WWW,https://doi.org/10.1145/3701716.3717531
Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation,"Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty",2023,CoRR,https://doi.org/10.48550/arXiv.2301.11489
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation.,"Dongding Lin, Jian Wang, Wenjie Li",2023,AAAI,https://doi.org/10.1609/aaai.v37i4.25567
RevCore: Review-Augmented Conversational Recommendation.,"Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He",2021,ACL/IJCNLP,https://doi.org/10.18653/v1/2021.findings-acl.99
CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation.,"Harshvardhan Srivastava, Kanav Pruthi, Soumen Chakrabarti, Mausam",2023,CoRR,https://doi.org/10.48550/arXiv.2311.08511
Generating and Validating Contextually Relevant Justifications for Conversational Recommendation.,"Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein",2022,CHIIR,https://doi.org/10.1145/3498366.3505789
A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce.,"Guangtao Nie, Rong Zhi, Xiaofan Yan, Yufan Du, Xiangyang Zhang, Jianwei Chen, Mi Zhou, Hongshen Chen, Tianhao Li, Ziguang Cheng, Sulong Xu, Jinghe Hu",2024,RecSys,https://doi.org/10.1145/3640457.3688061
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.,"Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu",2024,CIKM,https://doi.org/10.1145/3627673.3679599
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.,"Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley",2025,WSDM,https://doi.org/10.1145/3701551.3703573
EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context.,"Hannes Kunstmann, Joseph Ollier, Joel Persson, Florian von Wangenheim",2024,CoRR,https://doi.org/10.48550/arXiv.2407.04472
Leveraging Large Language Models in Conversational Recommender Systems.,"Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari",2023,CoRR,https://doi.org/10.48550/arXiv.2305.07961
A Large Language Model Enhanced Conversational Recommender System.,"Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun",2023,CoRR,https://doi.org/10.48550/arXiv.2308.06212
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models,"Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang",2022,AACL,https://doi.org/10.18653/v1/2022.aacl-main.37
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs.,"Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin",2024,ACL,https://doi.org/10.18653/v1/2024.findings-acl.529
LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System.,"Ruobing Wang, Xin He, Hengrui Gu, Xin Wang",2024,ICANN,https://doi.org/10.1007/978-3-031-72356-8_6
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring.,"Hasan Abu-Rasheed, Mohamad Hussam Abdulsalam, Christian Weber, Madjid Fathi",2024,LAK Workshops,https://ceur-ws.org/Vol-3667/GenAILA-paper8.pdf
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems.,"Dayu Yang, Fumian Chen, Hui Fang",2024,SIGIR,https://doi.org/10.1145/3626772.3657924
How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation.,"Lixi Zhu, Xiaowen Huang, Jitao Sang",2024,WWW,https://doi.org/10.1145/3589335.3651955
ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems,"Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li",2025,NAACL Findings,https://doi.org/10.18653/v1/2025.findings-naacl.17
"A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems.","Lixi Zhu, Xiaowen Huang, Jitao Sang",2025,WWW,https://doi.org/10.1145/3696410.3714858
"""I Like Sunnie More Than I Expected!"": Exploring User Expectation and Perception of an Anthropomorphic LLM-based Conversational Agent for Well-Being Support","Siyi Wu, Feixue Han, Bingsheng Yao, Tianyi Xie, Xuan Zhao, Dakuo Wang",2024,CoRR,https://doi.org/10.48550/arXiv.2405.13803
Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation.,"Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang",2024,INLG,https://doi.org/10.18653/v1/2024.inlg-main.43
Prospect Personalized Recommendation on Large Language Model-based Agent Platform.,"Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua",2024,CoRR,https://doi.org/10.48550/arXiv.2402.18240
Reinforced Prompt Personalization for Recommendation with Large Language Models.,"Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He",2025,ACM TORS,https://doi.org/10.1145/3716320
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.,"Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee",2025,SIGIR,https://doi.org/10.1145/3726302.3730055
Personalized Pedagogy Through a LLM-Based Recommender System.,"Nasrin Dehbozorgi, Mourya Teja Kunuku, Seyedamin Pouriyeh",2024,AIED Companion,https://doi.org/10.1007/978-3-031-64312-5_8
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.,"Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton",2024,WSDM,https://doi.org/10.1145/3616855.3635689
ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework,"Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani",2024,Smart Health,https://doi.org/10.1016/j.smhl.2024.100465
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning.,"Millennium Bismay, Xiangjue Dong, James Caverlee",2025,NAACL,https://doi.org/10.18653/v1/2025.findings-naacl.454