Attribution Preservation in Network Compression for Reliable Network Interpretation. - Geondo Park; June Yong Yang; Sung Ju Hwang; Eunho Yang (NeurIPS, 2020)

GTA: Graph Truncated Attention for Retrosynthesis. - Seung-Woo Seo; You Young Song; June Yong Yang; Seohui Bae; Hankook Lee; Jinwoo Shin; Sung Ju Hwang; Eunho Yang (AAAI, 2021)

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. - Joonhyung Park; June Yong Yang; Jinwoo Shin; Sung Ju Hwang; Eunho Yang (AAAI, 2022)

Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods. - Juhyuk Lee; Min-Joong Lee; June Yong Yang; Eunho Yang (NAACL-HLT, 2022)

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. - Yeonsung Jung; Hajin Shim; June Yong Yang; Eunho Yang (ICML, 2023)

Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. - June Yong Yang; Geondo Park; Joowon Kim; Hyeongwon Jang 001; Eunho Yang (ICLR, 2024)

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Yeonsung Jung; Jaeyun Song; June Yong Yang; Jin-Hwa Kim; Sungyub Kim; Eunho Yang (NeurIPS, 2024)

Time Series Classification With Large Language Models via Linguistic Scaffolding. - Hyeongwon Jang 001; June Yong Yang; Jaeryong Hwang; Eunho Yang (IEEE Access, 2024)

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. - June Yong Yang; Byeongwook Kim; Jeongin Bae; Beomseok Kwon; Gunho Park; Eunho Yang; Se Jung Kwon; Dongsoo Lee (CoRR, 2024)

Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models. - Hyunjin Seo; Taewon Kim; June Yong Yang; Eunho Yang (CoRR, 2024)

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler. - Changhun Kim; Taewon Kim; Seungyeon Woo; June Yong Yang; Eunho Yang (CoRR, 2024)

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kang Min Yoo (CoRR, 2024)

Augmentation-Driven Metric for Balancing Preservation and Modification in Text-Guided Image Editing. - Yoonjeon Kim; Soohyun Ryu; Yeonsung Jung; Hyunkoo Lee; Joowon Kim; June Yong Yang; Jaeryong Hwang; Eunho Yang (CoRR, 2024)

Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing. - Yoonjeon Kim; Soohyun Ryu; Yeonsung Jung; Hyunkoo Lee; Joowon Kim; June Yong Yang; Jaeryong Hwang; Eunho Yang (CVPR, 2025)

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. - Doohyuk Jang; Sihwan Park 001; June Yong Yang; Yeonsung Jung; Jihun Yun; Souvik Kundu 009; Sungyub Kim; Eunho Yang (ICLR, 2025)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kyungsu Kim; Eunho Yang; Kang Min Yoo (ICLR, 2025)

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. - Jung Hyun Lee; Jeonghoon Kim; June Yong Yang; Se Jung Kwon; Eunho Yang; Kang Min Yoo; Dongsoo Lee (NAACL (Long Papers), 2025)