arXiv Machine Learning July 31, 2026 By Lennart Fertig, Lukas Kirchdorfer, Tobias Sesterhenn

Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches

Read the original on arXiv Machine Learning →

arXiv:2607. 27797v1 Announce Type: new Abstract: Predictive process monitoring (PPM) leverages event logs to forecast the future of running process instances, for instance, predicting the next activity, the remaining time until case completion, or the time to the next event.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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