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Papers
SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation
COLING 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025
PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence
ACL 2025
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
ACL 2025
SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
ACL 2025
Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications
IJCAI 2025
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
AAAI 2025