Papers by Do June Min
PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing (2022.emnlp-main)
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| Challenge: | Existing approaches to provide constructive feedback to counselors are limited by the time and cost involved. |
| Approach: | They propose a system that takes as input a client prompt and a counselor response and outputs a score indicating the level of reflection in the counselor response. |
| Outcome: | The proposed model outperforms baselines on different metrics and can be used to provide useful feedback to counseling trainees. |
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. |
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models (2024.lrec-main)
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Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Ece Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan C. Nwatu, Veronica Perez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea
| Challenge: | Recent advances in large language models have led to misleading public discourse that “it’s all been solved.” |
| Approach: | They identify 14 research areas encompassing 45 research directions that require new research and are not directly solvable by LLMs. |
| Outcome: | The research areas identified are 45 research directions that require new research and are not directly solvable by LLMs. |