How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues

@article{erkan2025,
  title = {How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues},
  author = {Basar, Erkan and Sun, Xin and Hendrickx, Iris and de Wit, Jan and Bosse, Tibor and De Bruijn, Gert-Jan and Bosch, Jos A. and Krahmer, Emiel},
  journal = {Proceedings of the 31st International Conference on Computational Linguistics},
  year = {2025},
  month = {Jan},
}

Basar, Erkan et al. (2025). How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues. Proceedings of the 31st International Conference on Computational Linguistics.

Basar, Erkan, et al.. "How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues." Proceedings of the 31st International Conference on Computational Linguistics, 2025.

Basar, Erkan, et al.. "How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues." Proceedings of the 31st International Conference on Computational Linguistics (2025).

Basar, Erkan et al., 2025. How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues. Proceedings of the 31st International Conference on Computational Linguistics.

TY  - JOUR
TI  - How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues
AU  - Basar, Erkan
AU  - Sun, Xin
AU  - Hendrickx, Iris
AU  - de Wit, Jan
AU  - Bosse, Tibor
AU  - De Bruijn, Gert-Jan
AU  - Bosch, Jos A.
AU  - Krahmer, Emiel
PY  - 2025
JO  - Proceedings of the 31st International Conference on Computational Linguistics
ER  -