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Recursive Self-Improvement with Multi-Agent Self-Supervision
Hyunin Lee, Jinglue Xu, Jeffrey Seely, Somayeh Sojoudi, Donghyun Lee, Matei Zaharia and Yujin Tang
Preprint
[blog]
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Recurisve Harness Self-Improvement
Hyunin Lee, Jinglue Xu, Jeffrey Seely, Donghyun Lee, Matei Zaharia and Yujin Tang
Preprint
[blog]
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Sakana Fugu Technical Report
Yujin Tang, Edoardo Cetin, Jinglue Xu, Qi Sun, Stefan Nielsen, Vincent Richard, Haruto Goda, Iaroslav Tymchenko, Nhan Nguyen, Hyunin Lee, Mari Ashiga, Shashank Kotyan, So Kuroki, Tarin Clanuwat
Preprint
[blog]
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Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models
Hyunin Lee, Yong Zhang, Hoang Vu Nguyen, Xiaoyi Liu, Namyong Park, Christopher Jung, Rong Jin, Yang Wang, Zhigang Wang, Somayeh Sojoudi, Xue Feng
Preprint
[blog]
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Position: AI Safety Must Embrace an Antifragile Perspective
Ming Jin, Hyunin Lee
International Conference on Machine Learning (ICML), 2025.
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A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
Hyunin Lee, Chanwoo Park, David Abel, and Ming Jin
International Conference on Learning Representation (ICLR), 2025.
ICLR 25 Financial AI workshop (Oral, top 1%).
[slides]
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Pausing Policy Learning in Non-stationary Reinforcement Learning.
Hyunin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi
International Conference on Machine Learning (ICML), 2024, (Oral, top 1%)
[Talk]
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Tempo Adaption in Non-stationary Reinforcement Learning.
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi
Neural Information Processing Systems (NeurIPS), 2023
[slides] [codes]
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Initial State Interventions for Deconfounded Imitation Learning
Samuel Pfrommer, Yatong Bai, Hyunin Lee, and Somayeh Sojoudi
IEEE Conference on Decision and Control (CDC), 2023.