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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
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
Vira Pyrih
Adrian Rebmann
Han van der Aa
88
0
0
22 Aug 2025
Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation
Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation
Michael Grohs
Adrian Rebmann
Jana-Rebecca Rehse
105
0
0
28 May 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
240
1
0
10 Feb 2025
Foundation Models for Anomaly Detection: Vision and Challenges
Foundation Models for Anomaly Detection: Vision and Challenges
Jing Ren
Tao Tang
Hong Jia
Haytham Fayek
Haytham Fayek
Xiaodong Li
Suyu Ma
Xiwei Xu
Feng Xia
385
2
0
10 Feb 2025
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
Yuanze Li
Haolin Wang
Shihao Yuan
Ming-Yu Liu
Debin Zhao
Yiwen Guo
Chen Xu
Guangming Shi
Wangmeng Zuo
477
40
0
20 Jan 2025
1