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How Reliable is Your Simulator? Analysis on the Limitations of Current
  LLM-based User Simulators for Conversational Recommendation

How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation

25 March 2024
Lixi Zhu
Xiaowen Huang
Jitao Sang
ArXivPDFHTML

Papers citing "How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation"

3 / 3 papers shown
Title
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
Yu Zhang
Shutong Qiao
Jiaqi Zhang
Tzu-Heng Lin
Chen Gao
Y. Li
LM&Ro
LM&MA
84
1
0
07 Mar 2025
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALM
KELM
113
242
0
25 Mar 2023
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
128
270
0
23 Jan 2021
1