Scientific Frontiers

Publications

The complete index of NAIRL’s published research across its three scientific frontiers.

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All 317 Beyond Scaling Laws 155 Physical AI & Robotics 104 High-dimensional Generative Models 58

All Publications

317 publications

# Breakthrough in Neural Scaling Law

K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean

Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee · ACL · 2025

# Breakthrough in Neural Scaling Law

Iterative Prompt Refinement for Safer Text-to-Image Generation

Jinwoo Jeon, JunHyeok Oh, Hayeong Lee, Byung-Jun Lee · EMNLP · 2025

# Breakthrough in Neural Scaling Law

Rethinking DPO: The Role of Rejected Responses in Preference Misalignment

Jay Hyeon Cho, JunHyeok Oh, Myunsoo Kim, Byung-Jun Lee · EMNLP · 2025

# Breakthrough in Neural Scaling Law

NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations

Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee · ICML · 2025

# Breakthrough in Neural Scaling Law

Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes

Jumin Han, Jun-Hee Kim, Seong-Whan Lee · NeurIPS · 2025

# Breakthrough in Neural Scaling Law

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs

Kun-Woo Kim, Ji-Hoon Park, Ju-Min Han, Seong-Whan Lee · IJCNN · 2025

# Breakthrough in Neural Scaling Law

Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition

Lintong Zhang, Kang Yin, Seong-Whan Lee · CVPR · 2025

# Breakthrough in Neural Scaling Law

DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer

Ho-Joong Kim, Yearang Lee, Jung-Ho Hong, Seong-Whan Lee · CVPR · 2025

# Breakthrough in Neural Scaling Law

Integrating Locality-Aware Attention with Transformers for General Geometry PDEs

Minsu Koh, Beom-Chul Park, Heejo Kong, Seong-Whan Lee · IJCNN · 2025

# Breakthrough in Neural Scaling Law

ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models

Singon Kim, Gunho Jung, Seong-Whan Lee · IJCNN · 2025