ARFBench shows vision-language models lead time series question answering for software incidents at 62.7% accuracy, a hybrid TSFM+VLM matches them, and a model-expert oracle reaches 87.2% accuracy.
43 An anomaly is present if the time-series has a value that is significantly different from the counterfactual values
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ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Response
ARFBench shows vision-language models lead time series question answering for software incidents at 62.7% accuracy, a hybrid TSFM+VLM matches them, and a model-expert oracle reaches 87.2% accuracy.