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# Breakthrough in Neural Scaling Law
‘Hello, World!’: Making GNNs Talk with LLMs
Sunwoo Kim, Soo Yong Lee, Jaemin Yoo, Kijung Shin ·
EMNLP
· 2025
# Breakthrough in Neural Scaling Law
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang ·
ICLR
· 2025
# Breakthrough in Neural Scaling Law
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang ·
ICLR
· 2025
# Breakthrough in Neural Scaling Law
Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing
Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang ·
ICCV
· 2025
# Breakthrough in Neural Scaling Law
Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens
Sohee Kim, Soohyun Ryu, Joonhyung Park, Eunho Yang ·
EMNLP
· 2025
# Foundation Model for Robotics
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
Yunseon Choi, Minchan Jeong, Soobin Um, Kee-Eung Kim ·
NeurIPS
· 2025
# Foundation Model for Robotics
Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions
Joo Bon Maeng, Seongmin Lee, Seokin Seo, Kee-Eung Kim ·
Volume 1: Long Papers
· 2025
# Foundation Model for Robotics
Monet: Mixture of Monosemantic Experts for Transformers
Jungwoo Park, Young Jin Ahn, Kee-Eung Kim, Jaewoo Kang ·
ICLR
· 2025
# Foundation Model for Robotics
Continual Debiasing: A Bias Mitigation Framework for Natural Language Understanding Systems
Mingyu Lee, Junho Kim, Jun-Hyung Park, SangKeun Lee ·
Expert Systems with Applications
· 2025
# High-dimensional Generative Foundation Models
Enhancing Multi-Level Cross-Modal Interaction with False Negative-Aware Contrastive Learning for Text-Video Retrieval
Eungyeop Kim, Changhee Lee ·
Applied Intelligence
· 2025
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