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전체 논문
논문 174개
# 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
# Breakthrough in Neural Scaling Law
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
Sangjun Lee, Seung-taek Woo, Jungyu Jin, Changhun Lee, Eunhyeok Park ·
EMNLP
· 2025
# Breakthrough in Neural Scaling Law
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So, Chiwoong Lee, Shinyoung Lee, Jungseul Ok, Eunhyeok Park ·
NeurIPS
· 2025
# Breakthrough in Neural Scaling Law
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors
Minsu Kim, Subin Jeon, In Cho, Mijin Yoo, Seon Joo Kim ·
ICCV
· 2025
# Breakthrough in Neural Scaling Law
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park ·
ICML
· 2025
# Breakthrough in Neural Scaling Law
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
Changhun Lee, Minsang Seok, Jun-gyu Jin, Younghyun Cho, Eunhyeok Park ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
PCM: Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
Junhyuk So, Jiwoong Shin, Chaeyeon Jang, Eunhyeok Park ·
CVPR
· 2025
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