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EMNLP Findings2023

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing

Do June Min, Verónica Pérez-Rosas, Ken Resnicow, Rada Mihalcea

Abstract

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 of counseling response rewriting, which transforms non-reflective statements into reflective responses. We introduce VERVE, a template-based rewriting system with paraphrase-augmented training and adaptive template updating. VERVE first creates a template by identifying and filtering out tokens that are not relevant to reflections and constructs a reflective response using the template. Paraphrase-augmented training allows the model to learn less-strict fillings of masked spans, and adaptive template updating helps discover effective templates for rewriting without significantly removing the original content. Using both automatic and human evaluations, we compare our method against text rewriting baselines and show that our framework is effective in turning non-reflective statements into more reflective responses while achieving a good content preservation-reflection style trade-off.

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Cited by top-tier papers3

  1. Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer CounselorsAlicja Chaszczewicz, Raj Sanjay Shah, Ryan Louie, Bruce A. Arnow et al.ACL 2024 · 12 citations
  2. Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice CounselorsRyan Louie, Raj Sanjay Shah, Ifdita Hasan Orney, Juan Pablo Pacheco et al.CHI 2026 · 7 citations
  3. Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for PsychotherapyXin Sun, Jan de Wit, Zhuying Li, Jiahuan Pei et al.CSCW 2025 · 6 citations

Builds on9

  1. BERTScore: Evaluating Text Generation with BERTTianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger et al.ICLR 2020 · 8,443 citations
  2. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionMike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad et al.ACL 2020 · 1,224 citations
  3. Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning ApproachAshish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins et al.WWW 2021 · 183 citations
  4. BLEURT: Learning Robust Metrics for Text GenerationThibault Sellam, Dipanjan Das, Ankur P. ParikhACL 2020 · 40 citations
  5. Cognitive Reframing of Negative Thoughts through Human-Language Model InteractionAshish Sharma, Kevin Rushton, Inna E. Lin, David Wadden et al.ACL 2023 · 32 citations

Related papers

  1. PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational InterviewingDo June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada MihalceaEMNLP 2022 · 10 citations
  2. Schema-Guided Response Generation using Multi-Frame Dialogue State for Motivational Interviewing SystemsJie Zeng, Yukiko I. NakanoACL Findings 2026 · 1 citation
  3. Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance VisualizationsIan Steenstra, Farnaz Nouraei, Timothy W. BickmoreCHI 2025 · 30 citations
  4. Facilitating Counselor Reflective Learning with a Real-time Annotation toolTianying Chen, Michael Xieyang Liu, Emily Ding, Emma O'Neil et al.CHI 2023 · 10 citations
  5. MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing CounselingYizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang et al.ACL Findings 2026
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