Targeted data selection from source domains reduces negative transfer when adapting compliance detection models to new regulations.
With a little push, NLI models can robustly and efficiently predict faithfulness,
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Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection
Targeted data selection from source domains reduces negative transfer when adapting compliance detection models to new regulations.