|
|
|
|
|
|
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. |
|
Jaewoo Ahn, 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. |
|
|
|
Ph.D. student in Computer Science & Engineering |
Aug. 2024 - Current |
|
M.S. in Artificial Intelligence |
Mar. 2022 - Feb. 2024 |
|
B.S. in Statistics B.S. in Artificial Intelligence |
Mar. 2017 - Feb. 2022 |
|
Exchange Student |
Fall 2019 |
|
|
Mar. 2014 - Feb. 2017 |
|
|
|
Machine Learning Researcher |
Jun. 2021 - Aug. 2021 |
|
Research Intern |
Mar. 2021 - Jun. 2021 |
|
Research Intern |
Jan. 2020 - Jun. 2020 |
|
|
|
|
Mar. 2022 - Feb. 2024 |
|
|
Mar. 2017 - Feb. 2021 |
|
|
Mar. 2015 - Feb. 2017 |
|
This website is built with Jon Barron's template. |