Han, Seungwook

11 publications

ICML 2025 Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal

ICML 2025 Position: General Intelligence Requires Reward-Based Pretraining Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal

ICLR 2025 Unveiling the Secret Recipe: A Guide for Supervised Fine-Tuning Small LLMs Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

ICLRW 2024 Value Augmented Sampling: Predict Your Rewards to Align Language Models Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal

NeurIPS 2023 Compositional Foundation Models for Hierarchical Planning Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie P. Kaelbling, Akash Srivastava, Pulkit Agrawal

NeurIPSW 2023 Compositional Foundation Models for Hierarchical Planning Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Joshua Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal

TMLR 2023 Estimating the Density Ratio Between Distributions with High Discrepancy Using Multinomial Logistic Regression Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

TMLR 2023 Mitigating Confirmation Bias in Semi-Supervised Learning via Efficient Bayesian Model Averaging Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava

ICML 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava

ICLR 2022 Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

ICMLW 2019 Predicting the Accuracy of Neural Networks from Final and Intermediate Layer Outputs Chad DeChant, Seungwook Han, Hod Lipson