Papers by Andrew Brown

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.
Evaluating Language Model Character Traits (2024.findings-emnlp)

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Challenge: Language models (LMs) exhibit human-like behaviour, but it is unclear how to describe this behaviour without undue anthropomorphism.
Approach: They formalise a behaviourist view of LM character traits and infer belief and intent from LM behaviour, finding consistency varies with model size, fine-tuning, and prompting.
Outcome: The proposed model enables us to describe LM behaviour precisely and without undue anthropomorphism.

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