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Exploring LLM-based Agents for Root Cause Analysis

Exploring LLM-based Agents for Root Cause Analysis

7 March 2024
Devjeet Roy
Xuchao Zhang
Rashi Bhave
Chetan Bansal
P. Las-Casas
Rodrigo Fonseca
Saravan Rajmohan
ArXivPDFHTML

Papers citing "Exploring LLM-based Agents for Root Cause Analysis"

10 / 10 papers shown
Title
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Christian Schroeder de Witt
AAML
AI4CE
174
1
0
04 May 2025
Frontier AI's Impact on the Cybersecurity Landscape
Frontier AI's Impact on the Cybersecurity Landscape
Wenbo Guo
Yujin Potter
Tianneng Shi
Zhun Wang
Andy Zhang
Dawn Song
52
2
0
07 Apr 2025
Online Multi-modal Root Cause Analysis
Online Multi-modal Root Cause Analysis
Lecheng Zheng
Zhengzhang Chen
Haifeng Chen
Jingrui He
35
0
0
13 Oct 2024
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
Kinjal Basu
Ibrahim Abdelaziz
Kelsey Bradford
M. Crouse
Kiran Kate
...
Yara Rizk
Xin Wang
Luis Lastras
Pavan Kapanipathi
Pavan Kapanipathi
33
7
0
04 Sep 2024
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Haolin Jin
Linghan Huang
Haipeng Cai
Jun Yan
Bo Li
Huaming Chen
78
27
0
05 Aug 2024
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
Lecheng Zheng
Zhengzhang Chen
Dongjie Wang
Chengyuan Deng
Reon Matsuoka
Haifeng Chen
18
3
0
08 Jun 2024
Towards Unlocking Insights from Logbooks Using AI
Towards Unlocking Insights from Logbooks Using AI
Antonin Sulc
Alex Bien
Annika Eichler
Daniel Ratner
Florian Rehm
...
Raimund Kammering
Thorsten Hellert
T. Wilksen
Verena Kain
Wan-Lin Hu
37
2
0
25 May 2024
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
267
2,510
0
06 Oct 2022
AutoTSG: Learning and Synthesis for Incident Troubleshooting
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty
Chetan Bansal
Sai Pramod Upadhyayula
Arjun Radhakrishna
Anurag Gupta
56
19
0
26 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
395
8,559
0
28 Jan 2022
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