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20222026
most citedExplainable Contextual Anomaly Detection using Quantile Regression Forests

25 citations · 35 across the 9 of their papers we have counts for

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cs.SE2026

Fix What's Wrong, Keep What's Right: Hallucination Repair for LLM-Based Optimization Modeling

Jiageng Wu, Chao Shen, Zihan Guo +5

Large language models (LLMs) are increasingly being explored to automate operations research modeling, reduce modeling time and lower the expertise barrier to optimization based de…

cs.SE2023

Graph Neural Networks based Log Anomaly Detection and Explanation

Zhong Li, Jiayang Shi, Matthijs van Leeuwen

Event logs are widely used to record the status of high-tech systems, making log anomaly detection important for monitoring those systems. Most existing log anomaly detection metho…