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# 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
# Breakthrough in Neural Scaling Law
HOT: Hadamard-based Optimized Training
Seonggon Kim, Juncheol Shin, Seung-taek Woo, Eunhyeok Park ·
CVPR
· 2025
# Breakthrough in Neural Scaling Law
Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
Jabin Koo, Minwoo Jang, Jungseul Ok ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
Comparison-based Active Preference Learning for Multi-dimensional Personalization
Minhyeon Oh, Seungjoon Lee, Jungseul Ok ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
LOCALITY-AWARE GAUSSIAN COMPRESSION FOR FAST AND HIGH-QUALITY RENDERING
Seungjoo Shin, Jaesik Park, Sunghyun Cho ·
ICLR
· 2025
# Breakthrough in Neural Scaling Law
Exploiting Deblurring Networks for Radiance Fields
Haeyun Choi, Heemin Yang, Janghyeok Han, Sunghyun Cho ·
CVPR
· 2025
# Breakthrough in Neural Scaling Law
Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
Nuri Ryu, Jiyun Won, Jooeun Son, Minsu Gong, Joo-Haeng Lee, Sunghyun Cho ·
SIGGRAPH
· 2025
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