3 papers
cs.CL2026
PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented Generation
MinKeon Kim, Namjun Lee, Jaekwang Kim
Retrieval-Augmented Generation enhances Large Language Models by grounding responses in external knowledge, but multi-hop reasoning remains vulnerable to error propagation, where e…
cs.IR2023
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation
Dongjun Lee, Donggeun Ko, Jaekwang Kim
Sequential recommendation addresses the issue of preference drift by predicting the next item based on the user's previous behaviors. Recently, a promising approach using contrasti…
cs.IR2020
A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems
Hyunsung Lee, Yeongjae Jang, Jaekwang Kim +1
A recommender system generates personalized recommendations for a user by computing the preference score of items, sorting the items according to the score, and filtering top-K ite…