Wang et al. 2023 — MTLFormer: Multi-Task Transformer for PPM

Multi-task Transformer for PPM. Predicts next activity, execution time of the next activity, and remaining time jointly via shared representations — explicitly leveraging relationships between tasks.

Contribution

Transformer architecture with multi-task parallel training and hard parameter sharing.
Claimed improvements on both efficiency (single model, three predictions) and accuracy over single-task baselines.
Evaluated on four benchmark event logs.

Position

Extends the Transformer-PPM line (ProcessTransformer 2021) with a multi-task learning (MTL) scaffold — reflecting the broader NLP trend of consolidating tasks into unified models.

Connections

Concepts: concepts/transformer-ppm · concepts/next-activity-prediction · concepts/remaining-time-prediction