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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

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

# 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