LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents-Reference-Cited by-同舟云学术

LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents

Published:2024-07-10 Issue: Volume:35 Page:388-398
ISSN:
Container-title:Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering
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Author:

Zhang Dylan¹^ORCID,Zhang Xuchao²^ORCID,Bansal Chetan²^ORCID,Las-Casas Pedro³^ORCID,Fonseca Rodrigo³^ORCID,Rajmohan Saravan⁴^ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, Champaign, USA

2. Microsoft Research, Redmond, United States

3. Azure Research, Redmond, United States

4. Microsoft 365, Redmond, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3663529.3663858

Reference39 articles.

1. Toufique Ahmed Supriyo Ghosh Chetan Bansal Thomas Zimmermann Xuchao Zhang and Saravan Rajmohan. 2023. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. arxiv:2301.03797.

2. Amar Prakash Azad Supriyo Ghosh Ajay Gupta Harshit Kumar and Prateeti Mohapatra. 2021. Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. arxiv:2105.15065.

3. Yejin Bang Samuel Cahyawijaya Nayeon Lee Wenliang Dai Dan Su Bryan Wilie Holy Lovenia Ziwei Ji Tiezheng Yu and Willy Chung. 2023. A multitask multilingual multimodal evaluation of chatgpt on reasoning hallucination and interactivity. arXiv preprint arXiv:2302.04023.

4. DeCaf

5. Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. 2023. Sparks of Artificial General Intelligence: Early experiments with GPT-4. arxiv:2303.12712.