Scientific Frontiers

Publications

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

← Back to Research Archive

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

All Publications

317 publications

# Breakthrough in Neural Scaling Law

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist

Kwangwook Seo, Dongha Lee · ACL · 2026

# Breakthrough in Neural Scaling Law

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths

Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee · ACL · 2026

# Breakthrough in Neural Scaling Law

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering

Jieyong Kim, Maryam Amirizaniani, Soojin Yoon, Dongha Lee · SIGIR · 2026

# Breakthrough in Neural Scaling Law

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender

Tongyoung Kim, Soojin Yoon, Seongku Kang, Jinyoung Yeo, Dongha Lee · SIGIR · 2026

# Breakthrough in Neural Scaling Law

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

Serin Kim, Sangam Lee, Dongha Lee · ICML · 2026

# Breakthrough in Neural Scaling Law

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback

Hyunseo Kim, Sangam Lee, Kwangwook Seo, Dongha Lee · ICML · 2026

# Breakthrough in Neural Scaling Law

4D Scaffold Gaussian Splatting with Dynamic-Aware Anchor Growing for Efficient and High-Fidelity Dynamic Scene Reconstruction

Woong Oh Cho, In Cho, Seoha Kim, Jeongmin Bae, Youngjung Uh, Seon Joo Kim · AAAI · 2026

# Breakthrough in Neural Scaling Law

Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation

Su Ho Han, Jeongseok Hyun, Pilhyeon Lee, Minho Shim, Dongyoon Wee, Seon Joo Kim · ICLR · 2026

# Breakthrough in Neural Scaling Law

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors

Subin Jeon, In Cho, Junyoung Hong, Woong Oh Cho, Seon Joo Kim · CVPR · 2026

# Breakthrough in Neural Scaling Law

Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression

Yeonje Choi, Taehyung Kwon, Yeongho Kim, Kijung Shin · ICDE · 2026