Do June Min

According to our database, Do June Min authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

CoRR, 2024

2023

Workflow-Guided Response Generation for Task-Oriented Dialogue.

Do June Min, Paloma Sodhi, Ramya Ramakrishnan

CoRR, 2023

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

CoRR, 2023

Adaptive Endpointing with Deep Contextual Multi-Armed Bandits.

Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh

Proceedings of the IEEE International Conference on Acoustics, 2023

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Navigating Data Scarcity: Pretraining for Medical Utterance Classification.

Do June Min, Verónica Pérez-Rosas, Rada Mihalcea

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication.

Do June Min, Verónica Pérez-Rosas, Shihchen Kuo, William H. Herman, Rada Mihalcea

Proceedings of the Machine Learning for Healthcare Conference, 2020