The authors create VisAnomBench with VLM-generated anomaly explanations and fine-tune VisAnomReasoner, reporting precision and F1 gains of at least 21 and 23 points on the new benchmark plus cross-benchmark improvements.
TempoGPT : Enhancing time series reasoning via quantizing embedding
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Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
The authors create VisAnomBench with VLM-generated anomaly explanations and fine-tune VisAnomReasoner, reporting precision and F1 gains of at least 21 and 23 points on the new benchmark plus cross-benchmark improvements.