LLM-enhanced Reranking in Recommender Systems

By Jingtong Gao, Bo Chen, Xiang-Yu Zhao, Weiwen Liu, Xiangyang Li, Yi-Chao Wang, Zijian Zhang, Wan-Yu Wang, Yu-Yang Ye, Shanru Lin and 2 more. 2024

Subfields: Large Language Models, Recommender Systems

Citations in the corpus

• CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking (2024, unknown): “While reranking has been extensively applied in domains like text retrieval (Zhuang et al., 2023b; Sun et al., 2023) and recommendation systems (Liu et al., 2022; Gao et al., 2024), its application in code retrieval remains largely unexplored.”
• Retrieval And Structuring Augmented Generation with Large Language Models (2025, unknown): “Jiang et al. [92] introduced DeepRetrieval , an RL-based approach that optimizes retrieval metrics (e.g., Recall@K, NDCG) directly without supervision, and achieves SOTA performance across literature, evidence-seeking, and SQL retrieval tasks with only 3B parameters.”