RDRec: Rationale Distillation for LLM-based Recommendation

17 May 2024

Papers citing "RDRec: Rationale Distillation for LLM-based Recommendation"

6 / 6 papers shown

Title
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? Kaidong Feng Zhu Sun Jie Yang Hui Fang Xinghua Qu Wei Liu 48 0 0 24 Apr 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 79 18 0 17 Jan 2025
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking Zhenrui Yue Sara Rabhi G. D. S. P. Moreira Dong Wang Even Oldridge LRM 46 36 0 25 Oct 2023
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification Yingjie Zhu Jiasheng Si Yibo Zhao Haiyang Zhu Deyu Zhou Yulan He 41 6 0 23 Oct 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 220 502 0 03 May 2023
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation Tianyu Liu Yizhe Zhang Chris Brockett Yi Mao Zhifang Sui Weizhu Chen W. Dolan HILM 222 143 0 18 Apr 2021