Papers by Mohamed Abdelwahab

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.
A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit (2025.findings-acl)

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Challenge: Large language models (LLMs) are being used to provide automated talk therapy . however, it is crucial to know if they would be effective and adhere to known standards.
Approach: They propose to use large language models to automate talk therapy with a focus on tobacco addiction.
Outcome: The proposed chatbot showed adherence to MI standards in 98% of utterances, higher than human counsellors.

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