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DABL: Detecting Semantic Anomalies in Business Processes Using Large
  Language Models

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models

22 June 2024
Wei Guan
Jian Cao
Jianqi Gao
Haiyan Zhao
Shiyou Qian
ArXivPDFHTML

Papers citing "DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models"

4 / 4 papers shown
Title
Foundation Models for Anomaly Detection: Vision and Challenges
Foundation Models for Anomaly Detection: Vision and Challenges
Jing Ren
Tao Tang
Hong Jia
Haytham Fayek
Xiaodong Li
Suyu Ma
Xiwei Xu
Feng Xia
66
0
0
10 Feb 2025
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
Mohammad Derakhshan
Paolo Ceravolo
Fatemeh Mohammadi
51
0
0
10 Feb 2025
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
253
1,073
0
05 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
328
11,953
0
04 Mar 2022
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