Seunguk Yu
According to our database1,
Seunguk Yu authored at least 13 papers
between 2024 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation.
CoRR, April, 2026
IEEE Access, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Steering LLMs toward Korean Local Speech: Iterative Refinement Framework for Faithful Dialect Translation.
CoRR, November, 2025
Enhancing Domain Generalization Performance in Low-Resource Setting via External Dataset and Pseudo Labeling With Sentence-BERT.
IEEE Access, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Korean Voice Phishing Detection Applying NER With Key Tags and Sentence-Level N-Gram.
IEEE Access, 2024
Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024