Seanie Lee

54 papers A* 18A 2Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search.
CoRR
Hyomin Lee, Sangwoo Park, Yumin Choi, Sohyun An, Seanie Lee, Sung Ju Hwang
2026 J jnl
THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.
CoRR
Seanie Lee, Sangwoo Park, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang
2025 J jnl
Distilling LLM Agent into Small Models with Retrieval and Code Tools.
CoRR
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang
2025 J jnl
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates.
CoRR
Sangwoo Park, Seanie Lee, Byungjoo Kim, Sung Ju Hwang
2025 J jnl
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA.
CoRR
Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025 A* conf
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models.
ICLR
Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
2025 J jnl
HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model.
CoRR
Youngwan Lee, Kangsan Kim, Kwanyong Park, Ilcahe Jung, Soojin Jang, Seanie Lee, Yong-Ju Lee, Sung Ju Hwang
2025 A* conf
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning.
ICLR
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2025 A conf
Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition.
INTERSPEECH
Dominik Wagner, Ilja Baumann, Natalie Engert, Seanie Lee, Elmar Nöth, Korbinian Riedhammer, Tobias Bocklet
2025 J jnl
Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition.
CoRR
Dominik Wagner, Ilja Baumann, Natalie Engert, Seanie Lee, Elmar Nöth, Korbinian Riedhammer, Tobias Bocklet
2025 J jnl
Rethinking Reward Models for Multi-Domain Test-Time Scaling.
CoRR
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
2025 — conf
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models.
ACL (Findings)
Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025 J jnl
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models.
CoRR
Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025 J jnl
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training.
CoRR
Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan S. Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura
2024 J jnl
Calibrated Decision-Making through LLM-Assisted Retrieval.
CoRR
Chaeyun Jang, Hyungi Lee, Seanie Lee, Juho Lee
2024 A* conf
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models.
ICLR
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
2024 A* conf
Drug Discovery with Dynamic Goal-aware Fragments.
ICML
Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang
2024 — conf
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries.
NAACL-HLT
Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen
2024 J jnl
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries.
CoRR
Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen
2024 J jnl
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models.
CoRR
Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
2024 J jnl
Learning diverse attacks on large language models for robust red-teaming and safety tuning.
CoRR
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024 A* conf
Optimized Speculative Sampling for GPU Hardware Accelerators.
EMNLP
Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet
2024 J jnl
Optimized Speculative Sampling for GPU Hardware Accelerators.
CoRR
Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet
2024 A* conf
Self-Supervised Dataset Distillation for Transfer Learning.
ICLR
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023 J jnl
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models.
CoRR
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
2023 J jnl
Drug Discovery with Dynamic Goal-aware Fragments.
CoRR
Seul Lee, Seanie Lee, Sung Ju Hwang
2023 A* conf
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks.
NeurIPS
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
2023 J jnl
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks.
CoRR
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
2023 A* conf
Margin-based Neural Network Watermarking.
ICML
Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang
2023 A* conf
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation.
ICML
Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023 A* conf
Self-Distillation for Further Pre-training of Transformers.
ICLR
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2023 J jnl
Self-Supervised Dataset Distillation for Transfer Learning.
CoRR
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023 A* conf
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning.
ICLR
Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
2022 A* conf
On Divergence Measures for Bayesian Pseudocoresets.
NeurIPS
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
2022 J jnl
On Divergence Measures for Bayesian Pseudocoresets.
CoRR
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
2022 J jnl
Self-Distillation for Further Pre-training of Transformers.
CoRR
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2022 A* conf
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning.
ICLR
Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
2022 A* conf
Set Based Stochastic Subsampling.
ICML
Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
2022 A* conf
Set-based Meta-Interpolation for Few-Task Meta-Learning.
NeurIPS
Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022 J jnl
Set-based Meta-Interpolation for Few-Task Meta-Learning.
CoRR
Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2021 A* conf
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation.
ICLR
Seanie Lee, Dong Bok Lee, Sung Ju Hwang
2021 — conf
Learning to Perturb Word Embeddings for Out-of-distribution QA.
ACL/IJCNLP (1)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
2021 J jnl
Learning to Perturb Word Embeddings for Out-of-distribution QA.
CoRR
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
2021 A* conf
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning.
ICLR
Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang
2021 J jnl
Self-supervised Text-to-SQL Learning with Header Alignment Training.
CoRR
Donggyu Kim, Seanie Lee
2021 J jnl
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning.
CoRR
Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
2020 J jnl
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation.
CoRR
Seanie Lee, Dong Bok Lee, Sung Ju Hwang
2020 A* conf
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs.
ACL
Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang
2020 J jnl
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs.
CoRR
Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang
2020 A conf
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset.
INTERSPEECH
Kyubyong Park, Seanie Lee
2020 J jnl
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset.
CoRR
Kyubyong Park, Seanie Lee
2019 — conf
Domain-agnostic Question-Answering with Adversarial Training.
MRQA@EMNLP
Seanie Lee, Donggyu Kim, Jangwon Park
2019 J jnl
Domain-agnostic Question-Answering with Adversarial Training.
CoRR
Seanie Lee, Donggyu Kim, Jangwon Park
2018 J jnl
Incorporating product description to sentiment topic models for improved aspect-based sentiment analysis.
Inf. Sci.
Reinald Kim Amplayo, Seanie Lee, Min Song