Scientific Frontiers

Publications

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

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317 publications
# Breakthrough in Neural Scaling Law

Position: The Term “Machine Unlearning” Is Overused in LLMs

Sangyeon Yoon, Yeachan Jun, Albert No · ICML · 2026
# Breakthrough in Neural Scaling Law

Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?

Hyowon Wi, Noseong Park · ACL · 2026
# Breakthrough in Neural Scaling Law

Incomplete Prompt Jailbreaks in Large Language Models

Yeonjea Kim, Bumjin Park, Jaesik Choi · ACL Findings · 2026
# High-dimensional Generative Foundation Models

Confidence-Aware Adaptive Semi-Supervised Approach for Reliable EEG-Based Emotion Recognition

Songha Kim, Soyeon Bak, Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Tae-Eui Kam · ICASSP · 2026
# High-dimensional Generative Foundation Models

Open Your Model’s Eyes: Video and Context-Aware Multimodal Backchannel Prediction

Min-Jae Kim, Jun-Yeong Moon, Mujeen Sung, Gyeong-Moon Park · ACL · 2026
# Foundation Model for Robotics

PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters’ Lack of Knowledge

Eojin Jeon, SangKeun Lee · ACL · 2026
# Breakthrough in Neural Scaling Law

Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge

Joonhyung Park, Jaeyun Song, Sihwan Park, Eunho Yang · ACL · 2026
# Foundation Model for Robotics

Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling

Yoonseok Choi, Chaeyoung Oh, Hyunjun Choi, Seokin Seo, Kee-Eung Kim · ICML · 2026
# Foundation Model for Robotics

PS-PPO: Prefix-Sampling PPO for Critic-Free RLHF

Doo Hwan Hwang, Kee-Eung Kim · ICML · 2026
# High-dimensional Generative Foundation Models

Deep Language Model-based Early Recognition of Out-of-Hospital Cardiac Arrest from Real-Time Emergency Calls

Hong-Jae Choi, Minyoung Hwang, Sangyeon Cho, Hyunsoo Kim, Junyeong Kim, Woori Bae, Changhee Lee · npj Digital Medicine · 2026