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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