Could Small Language Models Serve as Recommenders? Towards Data-centric
Cold-start Recommendations

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations

29 June 2023

Wenlin Yao

Ninghao Liu

Papers citing "Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations"

8 / 8 papers shown

Title
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations Cedric Waterschoot N. Tintarev Francesco Barile 49 0 0 08 May 2025
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations Jiarui Rao Jionghao Lin AI4Ed 35 3 0 06 Jul 2024
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning Amit Sharma Hua Li Xue Li Jian Jiao LRM 39 0 0 20 Jun 2024
Large Language Model with Graph Convolution for Recommendation Yingpeng Du Ziteng Wang Zhu Sun Haoyan Chua Hongzhi Liu Zhonghai Wu Yining Ma Jie Zhang Youchen Sun 43 7 0 14 Feb 2024
A Survey on Large Language Models for Personalized and Explainable Recommendations Junyi Chen LRM 138 12 0 21 Nov 2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System Yunfan Gao Tao Sheng Youlin Xiang Yun Xiong Haofen Wang Jiawei Zhang RALM KELM 132 266 0 25 Mar 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,532 0 23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017