Papers by Ken Resnicow

2 papers
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing (2023.findings-emnlp)

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Challenge: During the Covid-19 pandemic, the number of people living with anxiety and depression rose more than four times . counselor training is difficult to speed up due to several factors, such as the need for expert supervision and the laborious and time-extensive process needed to provide evaluative feedback.
Approach: They propose a template-based rewriting system that transforms non-reflective statements into reflective responses using paraphrase-augmented training and adaptive template updating.
Outcome: The proposed model transforms non-reflective statements into more reflective responses while achieving a good content preservation-reflection style trade-off.
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation (2024.lrec-main)

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Challenge: In this paper, we analyze the problem of multi-reward reinforcement learning to optimize for multiple text qualities for natural language generation.
Approach: They propose to use multi-reward reinforcement learning to optimize for multiple text qualities for natural language generation by using bandits.
Outcome: The proposed techniques outperform existing naive and bandit baselines, showcasing their potential for enhancing language models.

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