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Recent breakthroughs in Large Language Models (LLMs) have led to the emergence of agentic AI systems that extend beyond the capabilities of standalone models.
Large Language Models are Learnable Planners for Long-Term Recommendation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) . ACM, 1893–1903
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RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, and Craig Boutilier. 2019 · 1909
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Collaborative filtering recommender systems
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Fast context-aware recommendations with factorization machines. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval . 635–644
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Recommender Systems: Introduction and Challenges
Francesco Ricci, Lior Rokach, and Bracha Shapira. 2015 · 2015
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What to Do Next: Modeling User Behaviors by Time-LSTM. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, Melbourne . 3602–3608
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Mvae: Multimodal variational autoencoder for fake news detection. In The world wide web conference . 2915–2921
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Adaptive fusion techniques for multimodal data
Gaurav Sahu and Olga Vechtomova. 2019 · 2019
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Sequential recommender systems: challenges, progress and prospects
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z Sheng, and Mehmet Orgun. 2019 · 2019
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Reinforcement knowledge graph reasoning for explainable recommendation. In Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval . 285–294
Yikun Xian, Zuohui Fu, Shan Muthukrishnan, Gerard De Melo, and Yongfeng Zhang. 2019 · 2019
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Deep Learning Based Recommender System: A Survey and New Perspectives
Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. 2019 · 2019
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Mgat: Multimodal graph attention network for recommendation
Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, and Tat-Seng Chua. 2020 · 2020
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Generate natural language explanations for recommendation
Hanxiong Chen, Xu Chen, Shaoyun Shi, and Yongfeng Zhang. 2021 · 2021
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Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al · 2021
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Knowledge-aware multi-modal adaptive graph convolutional networks for fake news detection
Shengsheng Qian, Jun Hu, Quan Fang, and Changsheng Xu. 2021 · 2021
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Multimodal fusion with co-attention networks for fake news detection. In Findings of the association for computational linguistics: ACL-IJCNLP 2021 . 2560–2569
Yang Wu, Pengwei Zhan, Yunjian Zhang, Liming Wang, and Zhen Xu. 2021 · 2021
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Multimodal fusion convolutional neural network with cross-attention mechanism for internal defect detection of magnetic tile
Houhong Lu, Yangyang Zhu, Ming Yin, Guofu Yin, and Luofeng Xie. 2022 · 2022
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Knowledge enhanced graph neural networks for explainable recommendation
Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, and Wei Zhou. 2022 · 2022
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An efficient multi-view multimodal data processing framework for social media popularity prediction. In Proceedings of the 30th ACM International Conference on Multimedia . 7200–7204
YunPeng Tan, Fangyu Liu, BoWei Li, Zheng Zhang, and Bo Zhang. 2022 · 2022
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2023 · 2023
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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, and Manoj Tiwari. 2023 · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023
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Recommender ai agent: Integrating large language models for interactive recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie. 2023a · 2023
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Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie. 2023b · 2023
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Camel: Communicative agents for" mind" exploration of large language model society
Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023a · 2023
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Personalized prompt learning for explainable recommendation
Lei Li, Yongfeng Zhang, and Li Chen. 2023b · 2023
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How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, and Weinan Zhang. 2023 · 2023
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Peng Liu, Lemei Zhang, and Jon Atle Gulla. 2023 · 2023
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Gpt-4 technical report
OpenAI. 2023 · 2023
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Communicative agents for software development
Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
Cited alongside, same era.
Recommender Systems with Generative Retrieval. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, and Mahesh Sathiamoorthy. 2023 · 2023
Cited alongside, same era.
Reflexion: Language agents with verbal reinforcement learning.(2023)
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2023 · 2023
Cited alongside, same era.
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models
Yubo Shu, Hansu Gu, Peng Zhang, Haonan Zhang, Tun Lu, Dongsheng Li, and Ning Gu. 2023a · 2023
Cited alongside, same era.
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla K Choubey, Tian Lan, Jason Wu, Huan Wang, et al · 2024
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User-LLM: Efficient LLM Contextualization with User Embeddings
Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O’Banion, and Jun Xie. 2024 · 2024
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Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations
Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, and Tat-Seng Chua. 2024 · 2024
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BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, and Haifeng Wang. 2024 · 2024
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RecMind: Large Language Model Powered Agent For Recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, and Yingzhen Yang. 2023a · 2023
Cited alongside, same era.
LLM-powered Autonomous Agents
Lilian Weng. 2023 · 2023
Cited alongside, same era.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023
Cited alongside, same era.
Retroformer: Retrospective large language agents with policy gradient optimization
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, et al · 2023
Cited alongside, same era.
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs
Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar, Kinjal Basu, Joaquín Arias, and Gopal Gupta. 2023 · 2023
Cited alongside, same era.
On Generative Agents in Recommendation
An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, and Tat-Seng Chua. 2023b · 2023
Cited alongside, same era.
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, and Ji-Rong Wen. 2023a · 2023
Cited alongside, same era.
Large Language Models Empowered Personalized Web Agents
Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, and Tat-Seng Chua. 2024 · 2024
Cited alongside, same era.
ULMRec: User-centric Large Language Model for Sequential Recommendation
Minglai Shao, Hua Huang, Qiyao Peng, and Hongtao Liu. 2024 · 2024
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RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework With LLM Agents
Yubo Shu, Haonan Zhang, Hansu Gu, Peng Zhang, Tun Lu, Dongsheng Li, and Ning Gu. 2024 · 2024
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User Behavior Simulation with Large Language Model-based Agents for Recommender Systems
Lei Wang, Jingsen Zhang, Hao Yang, Zhi-Yuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, et al · 2024
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AI PERSONA: Towards Life-long Personalization of LLMs
Tiannan Wang, Meiling Tao, Ruoyu Fang, Huilin Wang, Shuai Wang, Yuchen Eleanor Jiang, and Wangchunshu Zhou. 2024e · 2024
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Enhancing High-order Interaction Awareness in LLM-based Recommender Model
Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, and Yoshimi Suzuki. 2024a · 2024
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RDRec: Rationale Distillation for LLM-based Recommendation
Xinfeng Wang, Jin Cui, Yoshimi Suzuki, and Fumiyo Fukumoto. 2024b · 2024
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Multi-Agent Collaboration Framework for Recommender Systems
Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, and Min Zhang. 2024g · 2024
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AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024 , Ricardo Baeza-Yates and Francesco Bonchi (Eds.). ACM, 6743–6744
Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, and Jiliang Tang. 2024 · 2024
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AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N Ioannidis, Karthik Subbian, Jure Leskovec, and James Zou. 2024b · 2024
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MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management . 2585–2595
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, and Yong Yu. 2024 · 2024
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GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, et al · 2024
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Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12944–12953
Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, and Yueting Zhuang. 2024 · 2024
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Autodefense: Multi-agent llm defense against jailbreak attacks
Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, and Qingyun Wu. 2024 · 2024
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Injecagent: Benchmarking indirect prompt injections in tool-integrated large language model agents
Qiusi Zhan, Zhixiang Liang, Zifan Ying, and Daniel Kang. 2024 · 2024
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USimAgent: Large Language Models for Simulating Search Users
Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, and Jiaxin Mao. 2024e · 2024
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Agentcf: Collaborative learning with autonomous language agents for recommender systems. In Proceedings of the ACM on Web Conference 2024 . 3679–3689
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian McAuley, Wayne Xin Zhao, Leyu Lin, and Ji-Rong Wen. 2024c · 2024
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A survey on the memory mechanism of large language model based agents
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen. 2024b · 2024
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LLM-Powered User Simulator for Recommender System
Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, and Peng Jiang. 2024d · 2024
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Hongke Zhao, Songming Zheng, Likang Wu, Bowen Yu, and Jing Wang. 2024d · 2024
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Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption Utilization
Minyi Zhao, Jie Wang, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, and Shuigeng Zhou. 2024a · 2024
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Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) . ACM, 1796–1806
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten de Rijke. 2024b · 2024
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Lixi Zhu, Xiaowen Huang, and Jitao Sang. 2024 · 2024
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LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
Jingtong Gao, Bo Chen, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang, and Xiangyu Zhao. 2025 · 2025
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AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
Joshua Park and Yongfeng Zhang. 2025 · 2025
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Large Language Model driven Policy Exploration for Recommender Systems
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, and Joemon M Jose. 2025 · 2025
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