Papers by Cindy Wang

2 papers
Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model (2024.eacl-long)

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Challenge: Motivational Interviewing (MI) is a counselling technique used to guide people towards behaviour change.
Approach: They propose a method for distilling reflections from a foundational language model into smaller models that can be owned and controlled.
Outcome: The proposed method achieves 100% success rate on hold-out test set and 90% on the GPT-2 XL.
Practical Transformer-based Multilingual Text Classification (2021.naacl-industry)

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Challenge: XNLI does not reflect the data availability and task variety of industry applications.
Approach: They compare transformer-based text classification methods to multilingual models in five different languages . they use a task- and domain-adaptive pretraining and data augmentation technique .
Outcome: The proposed methods outperform monolingual models on two tasks in five languages . the results show that practical modifications can improve model performance without labeling .

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