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Enhancing Recommendation Diversity by Re-ranking with Large Language
  Models

Enhancing Recommendation Diversity by Re-ranking with Large Language Models

21 January 2024
Diego Carraro
Derek Bridge
    LRM
    ALM
ArXivPDFHTML

Papers citing "Enhancing Recommendation Diversity by Re-ranking with Large Language Models"

4 / 4 papers shown
Title
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
54
122
0
22 Oct 2022
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for
  Multilingual Tweet Representations at Twitter
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Xinyang Zhang
Yury Malkov
Omar U. Florez
Serim Park
Brian McWilliams
Jiawei Han
Ahmed El-Kishky
VLM
55
89
0
15 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
273
1,561
0
18 Sep 2019
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