The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)
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Updated
Oct 8, 2020 - Python
The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)
AACL'2022: Unsupervised Single Document Abstractive Summarization using Semantic Units
Code and data for "Adaptation, Not Algorithm" (Findings of AACL-IJCNLP 2026): LoRA vs. full fine-tuning and jailbreak safety in five open-weight LLMs
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