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

Beyond Scaling Laws

논문 87개

# Breakthrough in Neural Scaling Law

R-TOFU: Unlearning in Large Reasoning Models

Sangyeon Yoon, Wonje Jeung, Albert No · EMNLP · 2025

# Breakthrough in Neural Scaling Law

Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes

Dongjae Jeon, Dueun Kim, Albert No · ICML · 2025

# Breakthrough in Neural Scaling Law

MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables

Kwangwook Seo, Donguk Kwon, Dongha Lee · ACL · 2025

# Breakthrough in Neural Scaling Law

Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts

Soojin Yoon, Sungho Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee · WSDM · 2025

# Breakthrough in Neural Scaling Law

Stop Playing the Guessing Game! Target-Free User Simulation for Evaluating Conversational Recommender Systems

Sunghwan Kim, Kwangwook Seo, Tongyoung Kim, Jinyoung Yeo, Dongha Lee · EMNLP · 2025

# Breakthrough in Neural Scaling Law

Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action

Tongyoung Kim, Jeongeun Lee, Soojin Yoon, Sunghwan Kim, Dongha Lee · EMNLP · 2025

# Breakthrough in Neural Scaling Law

Can Large Language Models be Effective Online Opinion Miners?

Ryang Heo, Yongsik Seo, Junseong Lee, Dongha Lee · EMNLP · 2025

# Breakthrough in Neural Scaling Law

Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models

In Cho, Youngbeom Yoo, Subin Jeon, Seon Joo Kim · ICCV · 2025

# Breakthrough in Neural Scaling Law

Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation

Miran Heo, Seoung Wug Oh, Seon Joo Kim, Joon-Young Lee · AAAI · 2025

# Breakthrough in Neural Scaling Law

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks

Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee · ICML · 2025