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ORCIDJongwoo Ko
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2020 – today
- 2024
[c11]Yongjin Yang, Jongwoo Ko, Se-Young Yun:
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. EMNLP 2024: 2066-2085- [c10]Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun:
DistiLLM: Towards Streamlined Distillation for Large Language Models. ICML 2024 - [c9]Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine-tuning Pre-trained Models for Robustness under Noisy Labels. IJCAI 2024: 3643-3651 - [i14]Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun:
DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR abs/2402.03898 (2024) - [i13]Tianyi Chen, Xiaoyi Qu, David Aponte, Colby R. Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang:
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning. CoRR abs/2409.09085 (2024) - [i12]Aparna Elangovan, Jongwoo Ko, Lei Xu, Mahsa Elyasi, Ling Liu, Sravan Bodapati, Dan Roth:
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. CoRR abs/2410.03775 (2024) - [i11]Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan:
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. CoRR abs/2410.09362 (2024) - 2023
- [c8]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI 2023: 197-205 - [c7]Jongwoo Ko, Bongsoo Yi, Se-Young Yun:
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. AAAI 2023: 8325-8333 - [c6]Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun:
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. EACL (Findings) 2023: 158-175 - [c5]Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun:
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP 2023: 5910-5924 - [c4]Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun:
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. EMNLP (Findings) 2023: 6076-6093 - [c3]Sumyeong Ahn, Jongwoo Ko, Se-Young Yun:
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. ICLR 2023 - [i10]Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun:
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. CoRR abs/2302.01530 (2023) - [i9]Sumyeong Ahn, Jongwoo Ko, Se-Young Yun:
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR abs/2302.05499 (2023) - [i8]Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun:
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR abs/2310.05424 (2023) - [i7]Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun:
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. CoRR abs/2310.10054 (2023) - [i6]Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR abs/2310.17668 (2023) - [i5]Yongjin Yang, Jongwoo Ko, Se-Young Yun:
Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models. CoRR abs/2311.15569 (2023) - 2022
- [c2]Jaehoon Oh, Jongwoo Ko, Se-Young Yun:
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP 2022: 6747-6754 - [i4]Jongwoo Ko, Bongsoo Yi, Se-Young Yun:
ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise. CoRR abs/2206.07277 (2022) - [i3]Jaehoon Oh, Jongwoo Ko, Se-Young Yun:
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR abs/2210.09588 (2022) - 2021
- [c1]Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. NeurIPS 2021: 24137-24149 - [i2]Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. CoRR abs/2102.11628 (2021) - [i1]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning. CoRR abs/2106.15499 (2021)
Coauthor Index
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