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Eun Jin Paek
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2020 – today
- 2024
- [i2]Sumera Anjum, Hanzhi Zhang, Wenjun Zhou, Eun Jin Paek, Xiaopeng Zhao, Yunhe Feng:
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making. CoRR abs/2409.10011 (2024) - 2022
- [c5]Ziming Liu, Parker N. Collier, Robert Bray, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao:
Estimating Human Attitude during Robot-mediated Referential Communication Tasks. CHASE 2022: 66-77 - [c4]Ziming Liu, Yigang Qin, Huiqi Zou, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao:
Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind. ICSR (1) 2022: 100-109 - 2021
- [c3]Ziming Liu, Parker N. Collier, Charles Wang, Eun Jin Paek, Si On Yoon, Devin Casenhiser, Xiaopeng Zhao:
A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis. CHASE 2021: 126-127 - [c2]Aradhana Soni, Benjamin Amrhein, Matthew Baucum, Eun Jin Paek, Anahita Khojandi:
Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease. EMBC 2021: 2282-2285 - [c1]Marjory Day, Rupam Kumar Dey, Matthew Baucum, Eun Jin Paek, Hyejin Park, Anahita Khojandi:
Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach. EMBC 2021: 2299-2302 - [i1]Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao:
A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia. CoRR abs/2104.08940 (2021)
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last updated on 2024-10-15 00:21 CEST by the dblp team
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