관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Generalizable Lifelong Model Editing via Preference Optimization
Dahyun Jung, Suhyune Son, Heuiseok Lim
KU임희석
Improving Semantic Proximity in English-Centric Information Retrieval through Cross-Lingual Alignment
Seongtae Hong, Youngjoon Jang, Hyeonseok Moon, Jungseob Lee, Heuiseok Lim
KU임희석
Language Chain in Alignment: Cross-Lingual Ranking Preference Optimization
Seungyoon Lee, Minhyuk Kim, Jungseob Lee, Heuiseok Lim
KU임희석
MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation
Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tat...
KU임희석
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
Jeongho Yoon, Chanhee Park, Yongchan Chun, Hyeonseok Moon, Heuiseok Lim
KU임희석
Learning from Perceptual to Semantic Visual Representations of the Brain via Multi-Level EEG-to-Image Alignment
Yebin Choi, Woohyeok Choi, Jun-Mo Kim, Songha Kim, Tae-Eui Kam
KU감태의
Tumor-Aware Direct Preference Optimization for Longitudinal Post-Operative MRI Generation
Bogyeong Kang, Minjoo Lim, Hyeonyeong Nam, Keun-Soo Heo, Mingxia Liu, Tae-Eui Kam
KU감태의
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment
J.-H. Yun, S.-B. Kim, S.-W. Lee
KU이성환
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection
Y. Lee, H.-J. Kim, S.-W. Lee
KU이성환
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
KU정종헌
FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment
Myunsoo Kim, Seongwoong Shim, Byung-Jun Lee
KU이병준
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, Meeyoung Cha, Sungwon Park
KU이병준
Self-Improving Diffusion Classifiers with Minority Preference Optimization
Hyunsoo Kim, Jungmyung Wi, Soobin Um, Donghyun Kim, Suhyun Kim
KU김동현
OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation
Yoonjin Oh, Yongjin Kim, Hyomin Kim, Donghwan Chi, Sungwoong Kim
KU김성웅, 임성빈
HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment
S. Jo, W. Jeong, D.-W. Heo, Y. Hwang, H.-I. Suk
KU석흥일
PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning
Anh Tong, Kyowoon Lee, Jaesik Choi
KUAnh Tong
CroSS:Cross-subject Visual Brain Decoding via Soft Alignment and Subject-aware Batch Normalization
Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Songha Kim, Tae-Eui Kam
KU감태의
Cross-Subject Semantic Decoding with Shared-Space Alignment for Generalized Neural Representatioin Learning
J.-H. Heo, A. Wisniewska, S.-H. Lee, S.-W. Lee
KU이성환
KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural Risks
Yongwoo Kim, Sojung An, Yunjin Park, Jungwon Yoon, Dujin Lee, HyunBeom Cho, Jaewon Lee, Wonhyuk Lee, Youngchol Kim, JeongYeop Kim, Donghyun Kim
KU김동현
Training-Free Label Space Alignment for Universal Domain Adaptation
Dujin Lee, Sojung An, Jungmyung Wi, Kuniaki Saito, Donghyun Kim
KU김동현
SGPO: Self-Generated Preference Optimization based on Self-Improver
Hyeonji Lee, Daejin Jo, Seohwan Yun, Sungwoong Kim
KU김성웅, 임성빈
Self-reported binary gender prediction from personality traits: Alignment between machine learning importance and classical effect sizes
Cho Heeseung, Chen, Yiyu, Wallraven, Christian
Define-Align-Fuse: Dual-Stream EEG-Vision Alignment using Hierarchical CLIP Representation
Chang-Min Lee, Jun-Mo Kim, Yebin Choi, WooHyeok Choi, Tae-Eui Kam
KU감태의
FACT: Functional Group Alignment and Consistency in Token Space for Structure-aware Molecular Representation Learning
Hyeonyeong Nam, W. Choi, Deok-Joong Lee, Young-Han Son, Sangwoon Lee, Bogyeong Kang, Eunjung Jo, Tae-Eui Kam
KU감태의
Why Go Heavy? Rethinking Visual Information Reduction in EEG-to-Image Alignment
S. Jo, A. Ayuso-Muñoz, W. Jeong, H.-I. Suk
KU석흥일
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin, Young-Han Son, Ji-Hye Oh, Tae-Eui Kam
KU감태의
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
KU정종헌
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin
KU정종헌
VPO: Leveraging the Number of Votes in Preference Optimization
Jae Hyeon Cho, Minkyung Park, Byung-Jun Lee
KU이병준
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
Hee Suk Yoon, Eunseop Yoon, MarkHasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
KU김성웅, 임성빈