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The Whole is Better than the Sum: Using Aggregated Demonstrations in
  In-Context Learning for Sequential Recommendation

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

15 March 2024
Lei Wang
Ee-Peng Lim
    RALM
ArXivPDFHTML

Papers citing "The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation"

5 / 5 papers shown
Title
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALM
KELM
115
242
0
25 Mar 2023
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
141
115
0
16 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
4,048
0
24 May 2022
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Yumao Lu
Zicheng Liu
Lijuan Wang
169
401
0
10 Sep 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
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