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Singapore Management University
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Debugging agentic coding systems just got a whole lot easier: TrajAudit pinpoints failures with significantly higher accuracy and lower token cost than existing methods.
LLMs aren't always needed: CelerLog shows you can get SOTA log parsing with a hybrid approach that's up to 18x faster and cuts token costs by 94%.
Automated logging systems may perform unpredictably across programming languages, with framework-anchor matching proving particularly sensitive to language differences.
Log-based anomaly detection models are missing 90% of the picture, but AnomalyGen uses LLMs and static analysis to hallucinate realistic training data and close the gap.