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Ken Resnicow

2 accepted papers

2024

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation

COLING 2024main

In this paper, we study the problem of multi-reward reinforcement learning to jointly optimize for multiple text qualities for natural language generation. We focus on the task of counselor reflection generation, where we optimize the generators to simultaneously improve the fluency, coherence, and…

2023

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing

EMNLP 2023long findings

Reflective listening is a fundamental skill that counselors must acquire to achieve proficiency in motivational interviewing (MI). It involves responding in a manner that acknowledges and explores the meaning of what the client has expressed in the conversation. In this work, we introduce the task o…

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