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Large Language Models (LLMs) have demonstrated great potential in Conversational Recommender Systems (CRS).
“Towards unified conversational recommender systems via knowledge-enhanced prompt learning”
Xiaolei Wang, Kun Zhou, Ji-Rong Wen and Wayne Zhao · 1937
Earlier work this paper cites.
“Towards deep conversational recommendations”
Raymond Li et al · 2018
Earlier work this paper cites.
“Conversational recommender system”
Yueming Sun and Yi Zhang · 2018
Earlier work this paper cites.
“Towards knowledge-based recommender dialog system”
Qibin Chen et al · 2019
Earlier work this paper cites.
“Inspired: Toward sociable recommendation dialog systems”
Shirley Hayati et al · 2020
Earlier work this paper cites.
“Evaluating conversational recommender systems via user simulation”
Shuo Zhang and Krisztian Balog · 2020
Earlier work this paper cites.
“Improving conversational recommender systems via knowledge graph based semantic fusion”
Kun Zhou et al · 2020
Earlier work this paper cites.
“Towards topic-guided conversational recommender system”
Kun Zhou et al · 2020
Earlier work this paper cites.
“Survey on evaluation methods for dialogue systems”
Jan Deriu et al · 2021
Earlier work this paper cites.
“Advances and challenges in conversational recommender systems: A survey”
Chongming Gao et al · 2021
Cited alongside, same era.
“CRSLab: An open-source toolkit for building conversational recommender system”
Kun Zhou et al · 2021
Cited alongside, same era.
“Training language models to follow instructions with human feedback”
Long Ouyang et al · 2022
Cited alongside, same era.
“Zero-shot recommendation as language modeling”
Damien Sileo, Wout Vossen and Robbe Raymaekers · 2022
Cited alongside, same era.
“Emergent abilities of large language models”
Jason Wei et al · 2022
Cited alongside, same era.
“Evaluating conversational recommender systems: A landscape of research”
Dietmar Jannach · 2023
Later among the works it cites.
“OpenAssistant Conversations–Democratizing Large Language Model Alignment”
Andreas Köpf et al · 2023
Later among the works it cites.
“Large language models for generative recommendation: A survey and visionary discussions”
Lei Li, Yongfeng Zhang, Dugang Liu and Li Chen · 2023
Later among the works it cites.
“Proactive Conversational Agents in the Post-ChatGPT World”
Lizi Liao, Grace Yang and Chirag Shah · 2023
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Guilherme Penedo et al · 2023
Later among the works it cites.
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Keqin Bao et al · 2023
Cited alongside, same era.
“Leveraging Large Language Models in Conversational Recommender Systems”
Luke Friedman et al · 2023
Cited alongside, same era.
“Large language models as zero-shot conversational recommenders”
Zhankui He et al · 2023
Cited alongside, same era.
“Large language models are zero-shot rankers for recommender systems”
Yupeng Hou et al · 2023
Cited alongside, same era.
“Llama 2: Open foundation and fine-tuned chat models”
Hugo Touvron et al · 2023
Later among the works it cites.
“User-Centric Conversational Recommendation: Adapting the Need of User with Large Language Models”
Gangyi Zhang · 2023
Later among the works it cites.
“Recommendation as instruction following: A large language model empowered recommendation approach”
Junjie Zhang et al · 2023
Later among the works it cites.