Seungwook Han

26 papers A* 5Misc 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training Language Models via Neural Cellular Automata.
CoRR
Dan Lee, Seungwook Han, Akarsh Kumar, Pulkit Agrawal
2025 A* conf
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective.
ICML
Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal
2025 J jnl
General Reasoning Requires Learning to Reason from the Get-go.
CoRR
Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal
2025 — conf
Position: General Intelligence Requires Reward-based Pretraining.
ICML (Position Papers)
Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal
2025 A* conf
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
ICLR
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
2024 J jnl
Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers.
CoRR
Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal
2024 J jnl
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
CoRR
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
2024 J jnl
Value Augmented Sampling for Language Model Alignment and Personalization.
CoRR
Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal
2023 A* conf
Compositional Foundation Models for Hierarchical Planning.
NeurIPS
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023 J jnl
Compositional Foundation Models for Hierarchical Planning.
CoRR
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023 J jnl
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.
CoRR
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
2023 J jnl
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression.
CoRR
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann
2023 J jnl
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression.
Trans. Mach. Learn. Res.
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann
2023 J jnl
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging.
Trans. Mach. Learn. Res.
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2023 A* conf
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.
ICML
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023 J jnl
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.
CoRR
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2022 A* conf
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.
ICLR
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2022 J jnl
On the Importance of Calibration in Semi-supervised Learning.
CoRR
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2021 J jnl
Equivariant Contrastive Learning.
CoRR
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2021 J jnl
Gage MPC: Bypassing Residual Function Leakage for Non-Interactive MPC.
IACR Cryptol. ePrint Arch.
Ghada Almashaqbeh, Fabrice Benhamouda, Seungwook Han, Daniel Jaroslawicz, Tal Malkin, Alex Nicita, Tal Rabin, Abhishek Shah, Eran Tromer
2021 J jnl
Gage MPC: Bypassing Residual Function Leakage for Non-Interactive MPC.
Proc. Priv. Enhancing Technol.
Ghada Almashaqbeh, Fabrice Benhamouda, Seungwook Han, Daniel Jaroslawicz, Tal Malkin, Alex Nicita, Tal Rabin, Abhishek Shah, Eran Tromer
2020 — conf
3D distributed deep learning framework for prediction of human intelligence from brain MRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha
2020 J jnl
not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget.
CoRR
Seungwook Han, Akash Srivastava, Cole L. Hurwitz, Prasanna Sattigeri, David D. Cox
2018 — conf
SyncGC: A Synchronized Garbage Collection Technique for Reducing Tail Latency in Cassandra.
APSys
Seungwook Han, Sungjin Lee, Sangwook Shane Hahn, Jihong Kim
2013 — conf
A Place-Aware Stereotypical Trust Supporting Scheme.
TrustCom/ISPA/IUCC
Gonzalo Huerta Cánepa, Seungwook Han, Dongman Lee, Byoungoh Kim
2012 Misc conf
Contextual Information Provision on Augmented Reality with IoT-Based Semantic Communication.
ISUVR
Heesuk Son, Seungwook Han, Dongman Lee