← Authors

Jongwoo Ko

15 papers · 2021–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (31) 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌱 Topic Pioneer πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (51) πŸ’Ž Century Club (15) ⚑ Prolific Year (6)

Conferences

EMNLP (4) ICLR (3) AAAI (2) ICML (2) AISTATS (1) EACL (1) IJCAI (1) NIPS (1)

Top co-authors

Se-Young Yun (12) Sumyeong Ahn (3) Sungnyun Kim (3) Du-Seong Chang (2) Sangmin Bae (2) Euijai Ahn (2) Tianyi Chen (2) Seungjoon Park (2) Sravan Babu Bodapati (2) Ling Liu (1)

Keywords

noisy label (3) label noise (2) model compression (2) label noise detection (1) semi-supervised learning (1) transfer learning (1) zero-shot learning (1) text classification (1) knowledge distillation (1) machine translation (1) data augmentation (1) cross-lingual transfer (1) supervised learning (1) supervised contrastive learning (1) label smoothing (1) prompt learning (1) mutual information (1) domain adaptation (1) supervised classification (1) contrastive learning (1)

Papers

SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins ICLR 2025
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge ICLR 2025
Bayesian Principles Improve Prompt Learning In Vision-Language Models AISTATS 2025
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024
Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024
DistiLLM: Towards Streamlined Distillation for Large Language Models ICML 2024
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models EMNLP 2023
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network AAAI 2023
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective EACL 2023
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding EMNLP 2023
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition ICLR 2023
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks EMNLP 2022
FINE Samples for Learning with Noisy Labels NIPS 2021