Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders

29 May 2025

Papers citing "Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders"

7 / 7 papers shown

Title
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjoo Tommaso Di Noia 182 24 0 24 Feb 2025
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems Yaochen Zhu Chao Wan Harald Steck Dawen Liang Yesu Feng Nathan Kallus Wenlin Yao RALM 119 2 0 21 Feb 2025
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems Zuoli Tang Zhaoxin Huan Zihao Li Xiaolu Zhang Jun Hu Chilin Fu Jun Zhou Lixin Zou Chenliang Li 144 20 0 20 Feb 2025
MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation Min Hou Chenxi Bai Le Wu Hao Liu Kun Zhang Peng Sun Richang Hong Ming Wang 104 1 0 12 Feb 2025
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation Xiaoyu Kong Jiancan Wu An Zhang Leheng Sheng Hui Lin Xiang Wang Xiangnan He AI4TS 165 10 0 19 Aug 2024
RDRec: Rationale Distillation for LLM-based Recommendation Xinfeng Wang Jin Cui Yoshimi Suzuki Fumiyo Fukumoto LRM 91 13 0 17 May 2024
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization Kun Zhou Haibo Wang Wayne Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang Ji-Rong Wen 178 828 0 18 Aug 2020