Publications
Publications & Research
Our published work in leading AI journals and conferences
Our published work in leading
AI journals and conferences
Granted 8 patents
Published over 38 research papers
Publications
Publications
2025
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution
Video Understanding
Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo and Sung Ju Hwang
CVPR 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image
Diffusion Models
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee and Sung Ju Hwang
CVPR 2025
ResearchAgent: Iterative Research Idea Generation over Scientific Literature
with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan and Sung Ju Hwang
NAACL 2025
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework
with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon and Sung Ju Hwang
ICLR 2025
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 and Sung Ju Hwang
ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming
and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain, and Sung Ju Hwang
ICLR 2025
Training Free Exponential Context Extension via Cascading KV Cache
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon and Sung Ju Hwang
ICLR 2025
Diffusion-based Neural Network Weights Generation
Bedionita Soro, Bruno_Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter and Sung Ju Hwang
ICLR 2025
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, and Sung Ju Hwang
NeurIPS 2025
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, and Sung Ju Hwang
NeurIPS 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
EMNLP 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
NeurIPS 2025
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
NeurIPS 2025
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Hae Beom Lee
and Sung Ju Hwang
NeurIPS 2025
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
JDongki Kim, Wonbin Lee, and Sung Ju Hwang
NeurIPS 2025
System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek and Sung Ju Hwang
NeurIPS 2025
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, and Sung Ju Hwang
NeurIPS 2025
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, and Sung Ju Hwang
NeurIPS 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
EMNLP 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
NeurIPS 2025
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
NeurIPS 2025
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Hae Beom Lee
and Sung Ju Hwang
NeurIPS 2025
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
JDongki Kim, Wonbin Lee, and Sung Ju Hwang
NeurIPS 2025
System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek and Sung Ju Hwang
NeurIPS 2025
2025
VideoICL:
Confidence-based Iterative
In-context Learning for
Out-of-Distribution Video Understanding
Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo and Sung Ju Hwang
CVPR 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee and Sung Ju Hwang
CVPR 2025
ResearchAgent:
Iterative Research Idea Generation over Scientific Literature with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan and Sung Ju Hwang
NAACL 2025
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon and Sung Ju Hwang
ICLR 2025
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 and Sung Ju Hwang
ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain, and Sung Ju Hwang
ICLR 2025
Training Free Exponential Context Extension via Cascading KV Cache
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon and Sung Ju Hwang
ICLR 2025
Diffusion-based Neural Network Weights Generation
Bedionita Soro, Bruno_Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter and Sung Ju Hwang
ICLR 2025
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, and Sung Ju Hwang
NeurIPS 2025
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, and Sung Ju Hwang
NeurIPS 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
EMNLP 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
NeurIPS 2025
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
NeurIPS 2025
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Hae Beom Lee and Sung Ju Hwang
NeurIPS 2025
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
JDongki Kim, Wonbin Lee, and Sung Ju Hwang
NeurIPS 2025
System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek and Sung Ju Hwang
NeurIPS 2025
2024
2024
2023
2023
Publications
Publications & Research
Our published work in leading AI journals and conferences
Granted 8 patents
Published over 38 research papers
Publications
2025
VideoICL: Confidence-based Iterative
In-context Learning for Out-of-Distribution Video Understanding
Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo and Sung Ju Hwang
CVPR 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee and Sung Ju Hwang
CVPR 2025
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan and Sung Ju Hwang
NAACL 2025
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon and Sung Ju Hwang
ICLR 2025
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 and Sung Ju Hwang
ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain, and Sung Ju Hwang
ICLR 2025
Training Free Exponential Context Extension via Cascading KV Cache
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon
and Sung Ju Hwang
ICLR 2025
Diffusion-based Neural Network Weights Generation
Bedionita Soro, Bruno_Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter and Sung Ju Hwang
ICLR 2025
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, and Sung Ju Hwang
NeurIPS 2025
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, and Sung Ju Hwang
NeurIPS 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
EMNLP 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
NeurIPS 2025
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
NeurIPS 2025
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Hae Beom Lee and Sung Ju Hwang
NeurIPS 2025
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
JDongki Kim, Wonbin Lee, and Sung Ju Hwang
NeurIPS 2025
System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek and Sung Ju Hwang
NeurIPS 2025
2025
VideoICL: Confidence-based Iterative
In-context Learning for Out-of-Distribution Video Understanding
Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo and Sung Ju Hwang
CVPR 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee and Sung Ju Hwang
CVPR 2025
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan and Sung Ju Hwang
NAACL 2025
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon and Sung Ju Hwang
ICLR 2025
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 and Sung Ju Hwang
ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain, and Sung Ju Hwang
ICLR 2025
Training Free Exponential Context Extension via Cascading KV Cache
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon
and Sung Ju Hwang
ICLR 2025
Diffusion-based Neural Network Weights Generation
Bedionita Soro, Bruno_Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter and Sung Ju Hwang
ICLR 2025
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, and Sung Ju Hwang
NeurIPS 2025
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, and Sung Ju Hwang
NeurIPS 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
EMNLP 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Simon A. Aytes, Jinheon Baek, and Sung Ju Hwang
NeurIPS 2025
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo, Sung Ju Hwang
NeurIPS 2025
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Hae Beom Lee and Sung Ju Hwang
NeurIPS 2025
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model
JDongki Kim, Wonbin Lee, and Sung Ju Hwang
NeurIPS 2025
System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek and Sung Ju Hwang
NeurIPS 2025