Papers by Mirae Kim
MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot (2024.emnlp-industry)
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| Challenge: | Existing systems in the United States provide limited psychosocial support for childhood cancer survivors due to stigma and disclosing medical history. |
| Approach: | They propose a multidisciplinary chILDhood cancer survivor question-answering bot that uses an intent classifier and a semantic textual similarity model to provide timely, accurate, and high-quality information. |
| Outcome: | The proposed model shows significant promise in offering timely, accurate, and high-quality information, effectively addressing a critical need for support among childhood cancer survivors. |