June Yong Yang

According to our database, June Yong Yang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.

Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, 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

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

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

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

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

Time Series Classification With Large Language Models via Linguistic Scaffolding.

Hyeongwon Jang, June Yong Yang, Jaeryong Hwang, Eunho Yang

IEEE Access, 2024

Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication.

June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation.

Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing.

Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Attribution Preservation in Network Compression for Reliable Network Interpretation.

Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020