Scientific Frontiers

Publications

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

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All Publications

317 publications
# Breakthrough in Neural Scaling Law

DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning

Joonmyung Choi, Sanghyeok Lee, Jongha Kim, Sehyung Kim, Dohwan Ko, Jihyung Kil, Hyunwoo J. Kim · CVPR · 2026
# Foundation Model for Robotics

Rethinking Direct Preference Optimization in Diffusion Models

Junyong Kang, Seohyun Lim, Kyungjune Baek, Hyunjung Shim · AAAI · 2026
# High-dimensional Generative Foundation Models

CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-Based Anomaly Synthesis

JoungBin Lee, Hyunkoo Lee, Jini Yang, Chaehyun Kim, Jung Yi, Seok Hwangbo, Hyeoncheol Lee, Minho Chun, Eunjo Jeong, Seungryong Kim · AAAI · 2026
# High-dimensional Generative Foundation Models

Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry

Junyoung Seo, Jisang Han, Jaewoo Jung, Siyoon Jin, Joungbin Lee, Takuya Narihira, Kazumi Fukuda, Takashi Shibuya, Donghoon Ahn, Shoukang Hu, Seungryong Kim, Yuki Mitsufuji · AAAI · 2026
# High-dimensional Generative Foundation Models

Posterior Label Smoothing for Node Classification

Jaeseung Heo, Moonjeong Park, Dongwoo Kim · AAAI · 2026
# Breakthrough in Neural Scaling Law

PaT: Planning-after-Trial for Efficient Test-Time Code Generation

Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok · ACL · 2026
# Breakthrough in Neural Scaling Law

Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them

Woojung Han, Seil Kang, Youngjun Jun, Min-Hung Chen, Fu-En Yang, Seong Jae Hwang · ICML · 2026
# Foundation Model for Robotics

EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents

Dongwook Choi, Taeyoon Kwon, Bogyung Jeong, Minju Kim, Yeonjun Hwang, Hyojun Kim, Byungchul Kim, Young Kyun Jang, Jinyoung Yeo · ICML · 2026
# Breakthrough in Neural Scaling Law

DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction

Enver Menadjiev, Jihyeon Seong, Jisu Yeo, Jaesik Choi · ICML · 2026
# Breakthrough in Neural Scaling Law

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulati

Dahee Kwon, Haeun Lee, Jaesik Choi · ICML · 2026