D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoring
D-TAIA is introduced, a framework for a joint next activity and remaining time prediction task via parameter-efficient fine-tuning of an FM backbone that combines domain-aware triplet loss pre-training with FAISS-based nearest neighbor retrieval for remaining time prediction, and adopts the TAIA inference strategy to preserve pre-trained sequential reasoning during fine-tuning.
S. Van Straten, Christine Jacob, Marwan Hassani
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