Myeongjun Jang
Orcid: 0000-0002-9352-4799Affiliations:
- J. P. Morgan, London, UK
- University of Oxford, UK (PhD 2025)
- Korea University, Department of Industrial Management Engineering, Seoul, South Korea (former)
According to our database1,
Myeongjun Jang authored at least 23 papers
between 2019 and 2026.
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Bibliography
2026
2025
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
Leveraging Natural Language Processing and Large Language Models for Assisting Due Diligence in the Legal Domain.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024
2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Comput. Speech Lang., 2022
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
CoRR, 2021
CoRR, 2021
Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms.
IEEE Access, 2021
2020
Corrigendum to "Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning" [Information Sciences 490 (2019) 59-73].
Inf. Sci., 2020
Inf. Sci., 2020
Unusual customer response identification and visualization based on text mining and anomaly detection.
Expert Syst. Appl., 2020
2019
Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning.
Inf. Sci., 2019