발행물
컨퍼런스
ACL 2024 Workshop
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Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation
ACL 2024
Towards Precise Localization of Critical Errors in Machine Translation
Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models
Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4