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전체 논문

논문 317개
# Breakthrough in Neural Scaling Law

VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension

Hyejin Park, Junhyuk Kwon, Suha Kwak, Jungseul Ok · CVPR · 2026
# Breakthrough in Neural Scaling Law

Learning to Generate Highly Dynamic Videos using Synthetic Motion Data

Wonjoon Jin, Jiyun Won, Janghyeok Han, Qi Dai, Chong Luo, Seung-Hwan Baek, Sunghyun Cho · CVPR · 2026
# Breakthrough in Neural Scaling Law

Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation Loss

Minsu Gong; Nuri Ryu; Jungseul Ok; Sunghyun Cho · WACV · 2026
# Breakthrough in Neural Scaling Law

BFS: Back-to-Front Layered Image Synthesis via Knowledge Transfer

Kyoungkook Kang, Gyujin Sim, Sunghyun Cho · SIGGRAPH · 2026
# Breakthrough in Neural Scaling Law

Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?

Jihwan Kim, Dogyoon Song, Chulhee Yun · ICLR · 2026
# Breakthrough in Neural Scaling Law

Characterizing Pattern Matching and Its Limits on Compositional Task Structures

Hoyeon Chang, Jinho Park, Hanseul Cho, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, Minjoon Seo · ICLR · 2026
# Breakthrough in Neural Scaling Law

IterQuant: Iterative Quantization Framework for Mixed-Precision LLM Compression

Hyungyo Jeong, Jiwoo Kim, Hyeokjun Kwon, Jaeho Lee, Youngjoo Lee · DATE · 2026
# Breakthrough in Neural Scaling Law

AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?

Hyunjong Ok, Suho Yoo, Hyeonjun Kim, Jaeho Lee · ICASSP · 2026
# Breakthrough in Neural Scaling Law

TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing

Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim · AAAI · 2026
# Breakthrough in Neural Scaling Law

MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models

Dohwan Ko, Jinyoung Park, Seoung Choi, Sanghyeok Lee, Seohyun Lee, Hyunwoo J. Kim · CVPR · 2026