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Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam
  Detection

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

3 April 2023
Maxime Labonne
Sean J. Moran
ArXivPDFHTML

Papers citing "Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection"

5 / 5 papers shown
Title
POST: Email Archival, Processing and Flagging Stack for Incident
  Responders
POST: Email Archival, Processing and Flagging Stack for Incident Responders
Jeffrey Fairbanks
17
1
0
01 Jul 2024
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
Kaidi Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Liu
Haoyu Wang
34
23
0
08 May 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Andi Zhang
Tim Z. Xiao
Weiyang Liu
Robert Bamler
Damon J. Wischik
OODD
46
4
0
07 Apr 2024
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
34
182
0
22 Sep 2022
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
1