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전체 논문
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# Breakthrough in Neural Scaling Law
P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
Kwangwook Seo, Dongha Lee ·
ACL
· 2026
# Breakthrough in Neural Scaling Law
Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee ·
ACL
· 2026
# Breakthrough in Neural Scaling Law
IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
Jieyong Kim, Maryam Amirizaniani, Soojin Yoon, Dongha Lee ·
SIGIR
· 2026
# Breakthrough in Neural Scaling Law
MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
Tongyoung Kim, Soojin Yoon, Seongku Kang, Jinyoung Yeo, Dongha Lee ·
SIGIR
· 2026
# Breakthrough in Neural Scaling Law
Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
Serin Kim, Sangam Lee, Dongha Lee ·
ICML
· 2026
# Breakthrough in Neural Scaling Law
BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
Hyunseo Kim, Sangam Lee, Kwangwook Seo, Dongha Lee ·
ICML
· 2026
# Breakthrough in Neural Scaling Law
4D Scaffold Gaussian Splatting with Dynamic-Aware Anchor Growing for Efficient and High-Fidelity Dynamic Scene Reconstruction
Woong Oh Cho, In Cho, Seoha Kim, Jeongmin Bae, Youngjung Uh, Seon Joo Kim ·
AAAI
· 2026
# Breakthrough in Neural Scaling Law
Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation
Su Ho Han, Jeongseok Hyun, Pilhyeon Lee, Minho Shim, Dongyoon Wee, Seon Joo Kim ·
ICLR
· 2026
# Breakthrough in Neural Scaling Law
Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors
Subin Jeon, In Cho, Junyoung Hong, Woong Oh Cho, Seon Joo Kim ·
CVPR
· 2026
# Breakthrough in Neural Scaling Law
Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression
Yeonje Choi, Taehyung Kwon, Yeongho Kim, Kijung Shin ·
ICDE
· 2026
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