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ORCIDDong Bok Lee
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2020 – today
- 2025
[c9]Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang:
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. ACL (Findings) 2025: 2053-2069- [c8]Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang:
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. ICLR 2025 - [i15]Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang:
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. CoRR abs/2502.12464 (2025) - [i14]Seongjae Kang, Dong Bok Lee, Hyungjoon Jang, Sung Ju Hwang:
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization. CoRR abs/2505.07675 (2025) - [i13]Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang:
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA. CoRR abs/2505.12805 (2025) - [i12]Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee:
Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. CoRR abs/2505.23032 (2025) - [i11]Seongjae Kang, Dong Bok Lee, Hyungjoon Jang, Dongseop Kim, Sung Ju Hwang:
PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models. CoRR abs/2506.00910 (2025) - [i10]Seongjae Kang, Dong Bok Lee, Juho Jung, Dongseop Kim, Won Hwa Kim, Sunghoon Joo:
Automated Structured Radiology Report Generation with Rich Clinical Context. CoRR abs/2510.00428 (2025) - [i9]Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song:
Rethinking Reward Models for Multi-Domain Test-Time Scaling. CoRR abs/2510.00492 (2025) - 2024
- [c7]Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Self-Supervised Dataset Distillation for Transfer Learning. ICLR 2024 - [i8]Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Sung Ju Hwang, Hae Beom Lee:
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. CoRR abs/2405.17918 (2024) - [i7]Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang:
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. CoRR abs/2410.01524 (2024) - 2023
- [c6]Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang:
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR 2023 - [i6]Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Self-Supervised Dataset Distillation for Transfer Learning. CoRR abs/2310.06511 (2023) - 2022
- [i5]Hae Beom Lee, Dong Bok Lee, Sung Ju Hwang:
Dataset Condensation with Latent Space Knowledge Factorization and Sharing. CoRR abs/2208.10494 (2022) - 2021
- [c5]Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. ICLR 2021 - [c4]Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang:
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. ICLR 2021 - [c3]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML 2021: 7748-7759 - [i4]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR abs/2106.03153 (2021) - 2020
- [c2]Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. ACL 2020: 208-224 - [c1]Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. NeurIPS 2020 - [i3]Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. CoRR abs/2005.13837 (2020) - [i2]Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. CoRR abs/2006.06648 (2020) - [i1]Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. CoRR abs/2012.07280 (2020)
Coauthor Index
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