Task Model Induction Recovers Interleaved Workflows from Computer Traces
Read this because AI engineers building desktop agents can use TMI to learn real-world workflows from raw interaction data, enabling more robust and auditable task execution.
New TMI method extracts structured task models from passive computer-use traces, significantly improving agent accuracy over existing baselines.