The proposed teacher-student distillation with isotropic regularization improves few-shot multilingual intent detection on proprietary customer care data, though the advertised gains are against baselines not given the source-domain labels.
Smith, ‘Don’t stop pretraining: Adapt language models to domains and tasks’, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp
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Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
The proposed teacher-student distillation with isotropic regularization improves few-shot multilingual intent detection on proprietary customer care data, though the advertised gains are against baselines not given the source-domain labels.