Paper Title,Author(s),Year,Published At,Reference Link/DOI
A Flash in the Pan: Better Prompting Strategies to Deploy Out-of-the-Box LLMs as Conversational Recommendation Systems.,"Gustavo Adolpho Lucas de Carvalho, Simon Ben Igeri, Jennifer Healey, Victor S. Bursztyn, David Demeter, Lawrence Birnbaum",2025,COLING,https://aclanthology.org/2025.coling-main.561/,https://aclanthology.org/2025.coling-main.561/
A Framework for Personalized Recommendation Based on LLMs with Constrained Combinatorial Optimization.,"Naoki Ishii, Keita Higuchi",2025,CHI Extended Abstracts,https://doi.org/10.1145/3706599.3719960,https://doi.org/10.1145/3706599.3719960
Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation.,"Hyunsik Jeon, Satoshi Koide, Yu Wang 0170, Zhankui He, Julian J. McAuley",2025,KDD,https://doi.org/10.1145/3711896.3736828,https://doi.org/10.1145/3711896.3736828
AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System.,"Qixin Wang, Dawei Wang, Kun Chen, Yaowei Hu 0001, Puneet Girdhar, Ruoteng Wang, Aadesh Gupta, Chaitanya Devella, Wenlai Guo, Shangwen Huang, Bachir Aoun, Greg Hayworth, Han Li, Xintao Wu",2026,AAAI,https://doi.org/10.1609/AAAI.V40I47.41491,https://doi.org/10.1609/AAAI.V40I47.41491
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems.,"Yu Shang, Peijie Liu 0001, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang 0003, Fengli Xu, Yu Wang 0002, Min Zhang, Yong Li 0008",2025,NeurIPS,https://neurips.cc/virtual/2025/loc/san-diego/poster/121525,https://neurips.cc/virtual/2025/loc/san-diego/poster/121525
AI-Based Personalized Multilingual Course Recommender System Using Large Language Models.,"Sourav Dutta, Florian Beier, Dirk Werth",2025,ICAART,https://doi.org/10.5220/0013260100003890,https://doi.org/10.5220/0013260100003890
Augmentation with Neighboring Information for Conversational Recommendation.,"Yuanxing Liu 0001, Jiahuan Pei, Weinan Zhang 0003, Ming Li 0068, Wanxiang Che, Maarten de Rijke",2025,ACM Trans. Inf. Syst.,https://doi.org/10.1145/3712588,https://doi.org/10.1145/3712588
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation.,"Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng",2025,ACL,https://doi.org/10.18653/V1/2025.ACL-LONG.758,https://doi.org/10.18653/V1/2025.ACL-LONG.758
CEREAL: personality-driven LLM-based conversational recommendation dataset with contextually-enriched and realistic user interactions.,"Jiyoon Lee, Joonghoon Kim, Pilsung Kang 0001",2026,Multim. Tools Appl.,https://doi.org/10.1007/S11042-026-21183-Z,https://doi.org/10.1007/S11042-026-21183-Z
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems.,"Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li",2025,WWW,https://doi.org/10.1145/3696410.3714908,https://doi.org/10.1145/3696410.3714908
Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation.,"Hyeongjun Yang, Donghyun Kim, Seokju Hwang, Midan Shim, Kyuhwan Yeom, Kaehyun Um, Kyong-Ho Lee",2026,ACL,https://doi.org/10.18653/V1/2026.FINDINGS-ACL.1114,https://doi.org/10.18653/V1/2026.FINDINGS-ACL.1114
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models.,"Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong",2025,IJCAI,https://doi.org/10.24963/IJCAI.2025/470,https://doi.org/10.24963/IJCAI.2025/470
E-Mealio: An LLM-Powered Conversational Agent for Sustainable and Healthy Food Recommendation.,"Antonio Raffaele Iacovazzi, Lorenzo Blanco, Giuseppe Spillo, Cataldo Musto",2025,RecSoGood@RecSys,https://doi.org/10.1007/978-3-032-13342-7_12,https://doi.org/10.1007/978-3-032-13342-7_12
Enhancing Recommendation Systems Using Large Language Models and Personalized Knowledge Graphs.,Fernando Spadea,2025,ISWC,https://ceur-ws.org/Vol-4085/paper24.pdf,https://ceur-ws.org/Vol-4085/paper24.pdf
Enhancing user information disclosure intention in dynamic conversations of intelligent recommendation systems based on large language models: A perspective of user gratification and privacy calculus.,"Chunze Xu, Fengqiang Gao, Lei Han",2025,Int. J. Hum. Comput. Stud.,https://doi.org/10.1016/J.IJHCS.2025.103511,https://doi.org/10.1016/J.IJHCS.2025.103511
Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework.,"Nuo Chen, Quanyu Dai, Xiaoyu Dong, Xiao-Ming Wu, Zhenhua Dong",2025,CoRR,https://doi.org/10.48550/ARXIV.2501.09493,https://doi.org/10.48550/ARXIV.2501.09493
Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models.,"Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua",2025,CoRR,https://doi.org/10.48550/ARXIV.2504.12313,https://doi.org/10.48550/ARXIV.2504.12313
Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations.,"Fernando Spadea, Oshani Seneviratne",2026,ESWC,https://doi.org/10.1007/978-3-032-25156-5_8,https://doi.org/10.1007/978-3-032-25156-5_8
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation.,"Yeming Li, Chenxi Liu , Jie Zou, Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang",2026,AAAI,https://doi.org/10.1609/AAAI.V40I23.39002,https://doi.org/10.1609/AAAI.V40I23.39002
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System.,"Rohan Surana, Junda Wu, Zhouhang Xie, Yu Xia, Harald Steck, Dawen Liang, Nathan Kallus, Julian J. McAuley",2025,CoRR,https://doi.org/10.48550/ARXIV.2504.15476,https://doi.org/10.48550/ARXIV.2504.15476
Generating Conversational Recommendation Datasets from Real User Interactions.,"Vinaik Chhetri, Yousaf Raza, Moghis Fereidouni, Srijata Maji, Umar Farooq, A. B. Siddique",2026,ICSC,https://doi.org/10.1109/ICSC67292.2026.00043,https://doi.org/10.1109/ICSC67292.2026.00043
Generating explanations for knowledge-aware conversational recommendation systems.,"Gustavo Padilha Polleti, Douglas Luan de Souza, Fábio G. Cozman",2025,User Model. User Adapt. Interact.,https://doi.org/10.1007/S11257-025-09432-6,https://doi.org/10.1007/S11257-025-09432-6
Generative Conversational Recommender System.,"Sixiao Zhang, Mingrui Liu, Cheng Long",2026,CoRR,https://doi.org/10.48550/ARXIV.2605.21987,https://doi.org/10.48550/ARXIV.2605.21987
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems.,"Zhangchi Qiu, Linhao Luo, Zicheng Zhao, Shirui Pan, Alan Wee-Chung Liew",2025,PAKDD,https://doi.org/10.1007/978-981-96-8180-8_27,https://doi.org/10.1007/978-981-96-8180-8_27
LatentCRS: A Variational EM Framework for Bridging Semantics and Behavior in LLM-based Conversational Recommendation.,"Guanrong Li, Kuo Tian, Jinnan Qi, Qinghan Fu, Zhen Wu, Xinyu Dai",2025,CoRR,https://doi.org/10.48550/ARXIV.2503.10703,https://doi.org/10.48550/ARXIV.2503.10703
Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking.,"Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li , Yang Deng",2026,ECIR,https://doi.org/10.1007/978-3-032-21300-6_13,https://doi.org/10.1007/978-3-032-21300-6_13
Integrating implicit desire fusion for proactive conversational recommendation systems with LLMs.,"Sitong Yan, Shengli Song, Chengen Lai, Jingyang Li, Guangneng Hu",2026,Inf. Fusion,https://doi.org/10.1016/J.INFFUS.2026.104373,https://doi.org/10.1016/J.INFFUS.2026.104373
Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation.,"Hongyang Su, Beibei Kong, Lei Cheng , Chengxiang Zhuo, Zang Li, Chenyun Yu",2026,CoRR,https://doi.org/10.48550/ARXIV.2605.07613,https://doi.org/10.48550/ARXIV.2605.07613
Leveraging Retrieval-Augmented Language Models for Accurate Item/Feature Selection in Conversational Recommender Systems.,"Taeho Kim, Junpyo Kim, Won-Yong Shin, Sang-Wook Kim",2026,WSDM,https://doi.org/10.1145/3773966.3777947,https://doi.org/10.1145/3773966.3777947
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience.,"Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li",2025,EMNLP,https://doi.org/10.18653/V1/2025.FINDINGS-EMNLP.119,https://doi.org/10.18653/V1/2025.FINDINGS-EMNLP.119
LLM-based Personalized Portfolio Recommender: Integrating Large Language Models and Reinforcement Learning for Intelligent Investment Strategy Optimization.,"Bangyu Li, Boping Gu, Ziyang Ding",2025,CoRR,https://doi.org/10.48550/ARXIV.2512.12922,https://doi.org/10.48550/ARXIV.2512.12922
Multi-round self-optimization with large language models for conversational recommendation.,"Qinyang He, Yihao Zhang, Kaibei Li, Xiaokang Li, Xibin Wang",2026,Appl. Intell.,https://doi.org/10.1007/S10489-026-07165-6,https://doi.org/10.1007/S10489-026-07165-6
OmniSim: A LLM-Powered Open-Source Simulator for Generating Personalized and Adaptive Conversational Recommendation Dialogues.,"Yong Zheng, Jian Zhang",2026,UMAP,https://doi.org/10.1145/3774935.3812730,https://doi.org/10.1145/3774935.3812730
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning.,"Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus",2025,CoRR,https://doi.org/10.48550/ARXIV.2510.20150,https://doi.org/10.48550/ARXIV.2510.20150
Reasoning Over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations.,"Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew",2025,ICDM,https://doi.org/10.1109/ICDM65498.2025.00159,https://doi.org/10.1109/ICDM65498.2025.00159
Recommendation-as-Experience: A framework for context-sensitive adaptation in conversational recommender systems.,"Raj Mahmud, Shlomo Berkovsky, Mukesh Prasad, A. Baki Kocaballi",2026,CoRR,https://doi.org/10.48550/ARXIV.2601.07401,https://doi.org/10.48550/ARXIV.2601.07401
RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems.,"Mengfan Li, Xuanhua Shi, Yang Deng",2026,AAAI,https://doi.org/10.1609/AAAI.V40I37.40430,https://doi.org/10.1609/AAAI.V40I37.40430
Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization.,"Manato Tajiri, Michimasa Inaba",2025,EMNLP,https://doi.org/10.18653/V1/2025.EMNLP-MAIN.1456,https://doi.org/10.18653/V1/2025.EMNLP-MAIN.1456
ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems.,"Dayu Yang, Hui Fang",2025,WISE,https://doi.org/10.1007/978-981-95-7251-9_6,https://doi.org/10.1007/978-981-95-7251-9_6
Retrieval Augmented Conversational Recommendation with Reinforcement Learning.,"Zhenrui Yue, Honglei Zhuang, Zhen Qin, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang",2026,CoRR,https://doi.org/10.48550/ARXIV.2604.04457,https://doi.org/10.48550/ARXIV.2604.04457
RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders.,"Zhongheng Yang, Aijia Sun, Yushang Zhao, Yinuo Yang, Dannier Li, Chengrui Zhou",2025,CoRR,https://doi.org/10.48550/ARXIV.2508.05289,https://doi.org/10.48550/ARXIV.2508.05289
SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems.,"Haochang Hao, Yifan Xu, Xinzhuo Li, Yingqiang Ge, Lu Cheng",2026,CoRR,https://doi.org/10.48550/ARXIV.2603.03536,https://doi.org/10.48550/ARXIV.2603.03536
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User.,"Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen",2025,SIGIR,https://doi.org/10.1145/3726302.3730080,https://doi.org/10.1145/3726302.3730080
Sequence-augmented Conversational Recommendation System Based on Diffusion Models for Personalized Cultural Exploration.,"Lun Tan, Jun Gong, Jiakui Shen, Yunqi Mi, Guoshuai Zhao, Jialie Shen, Xueming Qian",2025,MMAsia,https://doi.org/10.1145/3743093.3770941,https://doi.org/10.1145/3743093.3770941
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation.,"Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang",2025,CIKM,https://doi.org/10.1145/3746252.3761186,https://doi.org/10.1145/3746252.3761186
Strategic Conversations: LLMs Argumentation and User Perception in Movie Recommendation Dialogues.,"Valeria Mauro, Martina Di Bratto, Valentina Russo, Azzurra Mancini, Marco Grazioso",2025,CLiC-it,https://aclanthology.org/2025.clicit-1.66.pdf,https://aclanthology.org/2025.clicit-1.66.pdf
Supervised Pretraining for in-Context Decision in Conversational Service Recommendation.,"Tienyu Zuo, Kai Di, Yuanshuang Jiang, Fulin Chen, Pan Li, Yichuan Jiang",2025,ICWS,https://doi.org/10.1109/ICWS67624.2025.00069,https://doi.org/10.1109/ICWS67624.2025.00069
Synthetic Dialogue Generation for Interactive Conversational Elicitation & Recommendation (ICER).,"Moonkyung Ryu, Chih-Wei Hsu, Yinlam Chow, Mohammad Ghavamzadeh, Craig Boutilier",2025,CoRR,https://doi.org/10.48550/ARXIV.2510.02331,https://doi.org/10.48550/ARXIV.2510.02331
TalkPlay-Tools: Conversational Music Recommendation with LLM Tool Calling.,"Seungheon Doh, Keunwoo Choi, Juhan Nam",2025,CoRR,https://doi.org/10.48550/ARXIV.2510.01698,https://doi.org/10.48550/ARXIV.2510.01698
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations.,"Hung-Chun Hsu, Yuan-Ching Kuo, Chao-Han Huck Yang, Szu-Wei Fu, Hanrong Ye, Hongxu Yin, Yu-Chiang Frank Wang, Ming-Feng Tsai, Chuan-Ju Wang",2025,CoRR,https://doi.org/10.48550/ARXIV.2508.18132,https://doi.org/10.48550/ARXIV.2508.18132
Think Then Recommend: An LLM-Powered Multi-Agent Framework for Personalized Conversational Recommender System in E-Commerce.,"Yuankun Zu, Xiangyu Cai, Chuchu Yu, Hao Peng, Jia Duan, Long Chen, Kunyao Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law",2026,WWW,https://dl.acm.org/doi/10.1145/3774904.3793050,https://dl.acm.org/doi/10.1145/3774904.3793050
Towards Retrieval-Augmented Large Language Model-Based Conversational Recommender System.,"Dayu Yang, Fuli Wang",2025,PAKDD,https://doi.org/10.1007/978-981-96-8180-8_25,https://doi.org/10.1007/978-981-96-8180-8_25
USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model.,"Jianyu Wen, Jingyun Wang, Cilin Yan, Jiayin Cai, Xiaolong Jiang, Ying Zhang",2025,RecSys,https://doi.org/10.1145/3705328.3748089,https://doi.org/10.1145/3705328.3748089
User Experience with LLM-powered Conversational Recommendation Systems: A Case of Music Recommendation.,"Sojeong Yun, Youn-kyung Lim",2025,CHI,https://doi.org/10.1145/3706598.3713347,https://doi.org/10.1145/3706598.3713347
User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation.,"Xingyuan Xiang, Xiangchen Pan, Wei Wei",2026,CoRR,https://doi.org/10.48550/ARXIV.2604.03671,https://doi.org/10.48550/ARXIV.2604.03671