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Major cloud providers have employed advanced AI-based solutions like large language models to aid humans in identifying the root causes of cloud incidents.
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How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
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Few-shot learning with retrieval augmented language models
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Teaching Models to Express Their Uncertainty in Words
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Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
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Augmented Language Models: a Survey
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A Survey of Hallucination in Large Foundation Models
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Replug: Retrieval-augmented black-box language models
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Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al · 2023
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
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Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
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Cited alongside, same era.
Large language models are edge-case fuzzers: Testing deep learning libraries via fuzzgpt
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Cited alongside, same era.
Chain-of-Verification Reduces Hallucination in Large Language Models
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Cited alongside, same era.
Survey of Hallucination in Natural Language Generation
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Cited alongside, same era.
Assess and Summarize: Improve Outage Understanding with Large Language Models
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Cited alongside, same era.
How Language Model Hallucinations Can Snowball
Muru Zhang, Ofir Press, William Merrill, Alisa Liu, and Noah A. Smith. 2023b
Cited in the paper.
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, and Christopher D. Manning. 2023 · 2023
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Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, and Dongmei Zhang. 2023 · 2023
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Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, and Bryan Hooi. 2023 · 2023
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Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye, Tong Liu, Aijia Zhang, Wei Hua, and Weiqiang Jia. 2023 · 2023
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Theodore Zhao, Mu Wei, J Samuel Preston, and Hoifung Poon. 2023 · 2023
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Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models
Kaitlyn Zhou, Dan Jurafsky, and Tatsunori Hashimoto. 2023 · 2023
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Learning a hierarchical monitoring system for detecting and diagnosing service issues. In Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining . 2029–2038
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