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"

5 / 5 papers shown

Title
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations Cedric Waterschoot N. Tintarev Francesco Barile 44 0 0 08 May 2025
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations Jiarui Rao Jionghao Lin AI4Ed 24 3 0 06 Jul 2024
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System Yunfan Gao Tao Sheng Youlin Xiang Yun Xiong Haofen Wang Jiawei Zhang RALM KELM 118 265 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 226 4,424 0 23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017