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Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
Hongyang Liu
,
Zhu Sun
,
Tianjun Wei
,
Yan Wang
,
Jiajie Zhu
,
Xinghua Qu
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HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation
Kunrong Li
,
Zhu Sun
,
Kwan Hui Lim
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Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Large language models (LLMs) provide a promising way for accurate session-based recommendation (SBR), but they demand substantial …
Yingpeng Du
,
Zhu Sun
,
Ziyan Wang
,
Haoyan Chua
,
Jie Zhang
,
Yew-Soon Ong
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Enhancing New-item Fairness in Dynamic Recommender Systems
“New-items play a crucial role in recommender systems (RSs) for delivering fresh and engaging user experiences. However, …
Huizhong Guo
,
Zhu Sun
,
Dongxia Wang
,
Tianjun Wei
,
Jinfeng Li
,
Jie Zhang
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LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
‘Recently, Graph Neural Networks (GNNs) have become the dominant approach for Knowledge Graph-aware Recommender Systems (KGRSs) …
Yanhui Li
,
Dongxia Wang
,
Zhu Sun
,
Haonan Zhang
,
Huizhong Guo
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LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Sequential Recommenders (SRs) are trained to predict the next item as the target given its preceding items as the input, assuming every …
Yatong Sun
,
Xiaochun Yang
,
Zhu Sun
,
Yan Wang
,
Bin Wang
,
Xinghua Qu
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Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
“Social recommendations (SRs) aim to enhance preference modeling by integrating social networks. However, their effectiveness is …
Youchen Sun
,
Zhu Sun
,
Yingpeng Du
,
Jie Zhang
,
Yew-Soon Ong
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Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Emerging advancements in large language models (LLMs) show significant potential for enhancing recommendations. However, prompt-based …
Ziyan Wang
,
Yingpeng Du
,
Zhu Sun
,
Haoyan Chua
,
Kaidong Feng
,
Wenya Wang
,
Jie Zhang
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Adaptive In-Context Learning with Large Language Models for Bundle Generation
Zhu Sun
,
Kaidong Feng
,
Jie Yang
,
Xinghua Qu
,
Hui Fang
,
Yew-Soon Ong
,
Wenyuan Liu
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An Empirical Analysis on Multi-turn Conversational Recommender Systems
Lu Zhang
,
Chen Li
,
Yu Lei
,
Zhu Sun
,
Guanfeng Liu
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