Minwoo Lee

Orcid: 0000-0002-6354-9311

Affiliations:
  • Seoul National University, Department of Electrical and Computer Engineering, Seoul, Korea


According to our database1, Minwoo Lee authored at least 10 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Can LLMs Recognize Toxicity? Structured Toxicity Investigation Framework and Semantic-Based Metric.
CoRR, 2024

Fine-grained Gender Control in Machine Translation with Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network.
IEEE Access, 2021

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020


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