| 2025 | ACL | SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. | Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang |
| 2025 | ICLR | Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. | Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain |
| 2025 | ICLR | HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. | Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang |
| 2025 | Interspeech | Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition. | Dominik Wagner, Ilja Baumann, Natalie Engert, Seanie Lee, Elmar Nth, Korbinian Riedhammer, Tobias Bocklet |
| 2024 | EMNLP | Optimized Speculative Sampling for GPU Hardware Accelerators. | Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet |
| 2024 | ICLR | DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. | Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang |
| 2024 | ICLR | Self-Supervised Dataset Distillation for Transfer Learning. | Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang |
| 2024 | ICML | Drug Discovery with Dynamic Goal-aware Fragments. | Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang |
| 2024 | NAACL | Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries. | Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen |
| 2023 | ICLR | Self-Distillation for Further Pre-training of Transformers. | Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi |
| 2023 | ICLR | Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. | Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang |
| 2023 | ICML | Margin-based Neural Network Watermarking. | Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang |
| 2023 | ICML | Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. | Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang |
| 2022 | ICLR | Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. | Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang |
| 2022 | ICML | Set Based Stochastic Subsampling. | Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang |
| 2021 | ACL | Learning to Perturb Word Embeddings for Out-of-distribution QA. | Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang |
| 2021 | ICLR | Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. | Seanie Lee, Dong Bok Lee, Sung Ju Hwang |
| 2021 | ICLR | Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. | Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang |
| 2020 | ACL | Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. | Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang |
| 2020 | Interspeech | g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset. | Kyubyong Park, Seanie Lee |