Yeda Song

Hi! I am a Master's student in the interdisciplinary AI program at Seoul National University, under the supervision of Gunhee Kim.

My research interest lies in deep reinforcement learning (RL), particularly in devising intelligent agents capable of solving novel tasks. I believe such a goal can be achieved by learning proper abstractions, utilizing language models, and taking model-based approaches.

Email / CV / Github

Publications

MPChat: Towards Multimodal Persona-Grounded Conversation
Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim,
ACL, 2023
CODE / arXiv

We construct a multimodal persona-grounded dialogue dataset, MPChat, accompanied with entailment labels. The multimodal persona consists of image-text pairs that represent one's episodic memories. We show the role of visual modality is crucial in MPChat through three benchmark tasks.

Ongoing Projects

Skill Discovery with Human Feedback: investigating the potential of human feedback for discovering complex temporal abstractions, or ‘skills’, within the context of RL

Offline Model-Based RL for Distributional Shift: tackling the problem of distributional shift in offline RL (batch RL) with model-based RL approaches

Education

Seoul National University Master's Student in Artificial Intelligence	Mar. 2022 - Present
Seoul National University B.S. in Statistics B.S. in Artificial Intelligence	Mar. 2017 - Feb. 2022
Hong Kong University of Science and Technology Exchange Student	Sep. 2019 - Feb. 2020
Seoul Science High School	Mar. 2014 - Feb. 2017

Experiences

Anomaly Analysis Lab, Alchera Inc. Machine Learning Researcher	Jun. 2021 - Aug. 2021
Multiscale Methods in Statistics Lab, Seoul National University Research Intern	Mar. 2021 - Jun. 2021
Bioinformatics and Biostatistics Lab, Seoul National University Research Intern	Jan. 2020 - Jun. 2020

Honors and Awards

Presidential Science Scholarship	Mar. 2017 - Feb. 2021
Excellence Scholarship for Freshmen (Dept. of Statistics)	Spring 2017
Hanseong Nobel Scholarship (Sector: Mathematics)	Mar. 2015 - Feb. 2017

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