A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis. - Ziming Liu; Parker N. Collier; Charles Wang; Eun Jin Paek; Si On Yoon; Devin Casenhiser; Xiaopeng Zhao (CHASE, 2021)

Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach. - Marjory Day; Rupam Kumar Dey; Matthew Baucum; Eun Jin Paek; Hyejin Park; Anahita Khojandi (EMBC, 2021)

Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease. - Aradhana Soni; Benjamin Amrhein; Matthew Baucum; Eun Jin Paek; Anahita Khojandi (EMBC, 2021)

A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia. - Fengpei Yuan; Amir Sadovnik; Ran Zhang 001; Devin Casenhiser; Eun Jin Paek; Si On Yoon; Xiaopeng Zhao (CoRR, 2021)

Estimating Human Attitude during Robot-mediated Referential Communication Tasks. - Ziming Liu; Parker N. Collier; Robert Bray; Eun Jin Paek; Devin Casenhiser; Wenjun Zhou 001; Xiaopeng Zhao (CHASE, 2022)

Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind. - Ziming Liu; Yigang Qin; Huiqi Zou; Eun Jin Paek; Devin Casenhiser; Wenjun Zhou 001; Xiaopeng Zhao (ICSR (1), 2022)

HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making. - Sumera Anjum; Hanzhi Zhang; Wenjun Zhou 001; Eun Jin Paek; Xiaopeng Zhao; Yunhe Feng (CoRR, 2024)