Scientific Frontiers
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
Governance
Organization & Structure
Strategic Advisors Board
Ecosystem
Academic Consortium
Industry Alliances
Public Sector Partners
Global Research Network
Knowledge Hub
Media
Symposia & Open Labs
Seminars
Newsletter
About NAIRL
Mission & Vision
Leadership
Team
Facilities & Contact
EN
·
KO
Join us
EN
·
KO
Join us
esc
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
선도 연구 주제
전체 논문
NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.
←
연구 아카이브로 돌아가기
All
174
Beyond Scaling Laws
87
Physical AI & Robotics
60
High-dimensional Generative Models
27
전체 논문
논문 174개
# Foundation Model for Robotics
Quantized Factor Identifiable Causal Effect Variational Autoencoder
Sujeong Song, Junghyo Sohn, Eunsong Kang, Heung-Il Suk ·
CIKM
· 2025
# Foundation Model for Robotics
Frequency-Conditioned Diffusion Models for Time Series Generation
Seungwoo Jeong, Junghyo Sohn, Jaehyun Jeon, Heung-Il Suk ·
CIKM
· 2025
# Foundation Model for Robotics
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization
Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk ·
IJCAI
· 2025
# Foundation Model for Robotics
Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning
Junho Kim, Soyeon Bak, Mingyu Lee, Minju Hong, Songha Kim, Tae-Eui Kam, SangKeun Lee ·
EMNLP
· 2025
# Foundation Model for Robotics
Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment
Hyuntae Park, Yeachan Kim, SangKeun Lee ·
EMNLP
· 2025
# Foundation Model for Robotics
“Going to a trap house” conveys more fear than “Going to a mall”: Benchmarking Emotion Context Sensitivity for LLMs
Eojin Jeon, Mingyu Lee, Sangyun Kim, Junho Kim, Wanzee Cho, Tae-Eui Kam, SangKeun Lee ·
EMNLP
· 2025
# Foundation Model for Robotics
Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean
SungHo Kim, Nayeon Kim, Taehee Jeon, SangKeun Lee ·
ACL
· 2025
# Foundation Model for Robotics
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases
Mingyu Lee, Yeachan Kim, Wing-Lam Mok, SangKeun Lee ·
ACL
· 2025
# Foundation Model for Robotics
Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models
Yeachan Kim, SangKeun Lee ·
ACL
· 2025
# Foundation Model for Robotics
Incorporating Domain Knowledge into Materials Tokenization
Yerim Oh, Jun-Hyung Park, Junho Kim, SungHo Kim, SangKeun Lee ·
ACL
· 2025
← Prev
1
2
3
4
5
…
18
Next →