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Jongwoo Ko's Projects

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Code for the paper "A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise" (AAAI 2023)

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About Code for the paper "Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective" (EACL 2023 Findings)

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Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)

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Ko, Jongwoo, and Heeyoung Kim. "Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships." IISE Transactions just-accepted (2021): 1-28.

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Code for the paper "Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks" (EMNLP 2022)

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About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

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