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.

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Publications
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
Yeda Song*, Dongwook Lee*, Gunhee Kim
ICLR, 2024
CODE / arXiv

We propose COCOA, a novel approach for addressing distributional shifts in offline RL (batch RL). COCOA encourages conservatism within the compositional input space of both the policy and Q-function, independently of the commonly employed behavioral conservatism.

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.

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
Fall 2019
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
AI Fellowship Mar. 2022 - Feb. 2024
Presidential Science Scholarship Mar. 2017 - Feb. 2021
Hanseong Nobel Scholarship (Sector: Mathematics) Mar. 2015 - Feb. 2017



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