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Dongkyu Cho

2 accepted papers

2026

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration

ICML 2026poster

Data augmentation is a widely used strategy to improve model robustness and generalization by enriching training datasets with synthetic examples. While large language models (LLMs) have demonstrated strong generative capabilities for this purpose, their applications in high-stakes domains like heal…

Cited by 0SourceScholar
2026

Forget Forgetting: Continual Learning in a World of Abundant Memory

ICLR 2026poster

Continual learning (CL) has traditionally focused on minimizing exemplar memory, a constraint often misaligned with modern systems where GPU time, not storage, is the primary bottleneck. This paper challenges this paradigm by investigating a more realistic regime: one where memory is abundant enough…

Cited by 0SourceScholar