Seunguk Yu

According to our database1, Seunguk Yu authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation.
CoRR, April, 2026

Enhanced Active Learning Through Exclusion of Semi-Informative Sets.
IEEE Access, 2026

RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents.
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

VolDoGER: LLM-Assisted Datasets for Domain Generalization in Vision-Language Tasks.
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

Rational Text Augmentation Method with Korean Misspellings.
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


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