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ORCIDMyeongjun Jang 0001
Person information
- affiliation: J. P. Morgan, London, UK
- affiliation (PhD 2025): University of Oxford, UK
- affiliation (former): Korea University, Department of Industrial Management Engineering, Seoul, South Korea
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2020 – today
- 2026
[i13]Sae Young Moon, Myeongjun Erik Jang, Haoyan Luo, Chunyang Xiao, Antonios Georgiadis, Fran Silavong:
Industry-Aligned Granular Topic Modeling. CoRR abs/2601.11762 (2026)- 2025
- [c9]Myeongjun Erik Jang
, Fran Silavong:
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications. EMNLP (Industry Track) 2025: 1158-1172 - 2024
- [j9]Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz:
Pre-training and diagnosing knowledge base completion models. Artif. Intell. 329: 104081 (2024) - [c8]Myeongjun Jang, Gábor Stikkel:
Leveraging Natural Language Processing and Large Language Models for Assisting Due Diligence in the Legal Domain. NAACL (Industry Track) 2024: 155-164 - [c7]Myeongjun Jang, Antonios Georgiadis, Yiyun Zhao, Fran Silavong:
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift. NAACL (Industry Track) 2024: 335-346 - [i12]Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz:
Pre-training and Diagnosing Knowledge Base Completion Models. CoRR abs/2401.15439 (2024) - 2023
- [c6]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) 2023: 540-553 - [c5]Myeongjun Jang, Thomas Lukasiewicz:
Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. EMNLP 2023: 8496-8510 - [c4]Myeongjun Jang, Thomas Lukasiewicz:
Consistency Analysis of ChatGPT. EMNLP 2023: 15970-15985 - [i11]Myeongjun Jang, Thomas Lukasiewicz:
Consistency Analysis of ChatGPT. CoRR abs/2303.06273 (2023) - [i10]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR abs/2306.02980 (2023) - [i9]Myeongjun Erik Jang, Thomas Lukasiewicz:
Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. CoRR abs/2310.15541 (2023) - 2022
- [j8]Myeongjun Jang, Pilsung Kang:
Sentence transition matrix: An efficient approach that preserves sentence semantics. Comput. Speech Lang. 71: 101266 (2022) - [j7]Myeongjun Jang, Thomas Lukasiewicz:
NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2514-2525 (2022) - [c3]Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz:
BECEL: Benchmark for Consistency Evaluation of Language Models. COLING 2022: 3680-3696 - [c2]Myeongjun Jang, Dohyung Kim, Deuk Sin Kwon, Eric Davis:
KoBEST: Korean Balanced Evaluation of Significant Tasks. COLING 2022: 3697-3708 - [c1]Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz:
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. NAACL-HLT (Findings) 2022: 2030-2042 - [i8]Dohyeong Kim, Myeongjun Jang, Deuk Sin Kwon, Eric Davis:
KOBEST: Korean Balanced Evaluation of Significant Tasks. CoRR abs/2204.04541 (2022) - [i7]Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz:
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. CoRR abs/2205.03815 (2022) - 2021
- [j6]Myeongjun Jang, Pilsung Kang:
Learning-Free Unsupervised Extractive Summarization Model. IEEE Access 9: 14358-14368 (2021) - [j5]CzangYeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang:
Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms. IEEE Access 9: 58088-58101 (2021) - [i6]Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz:
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models. CoRR abs/2108.06665 (2021) - [i5]Myeongjun Jang, Thomas Lukasiewicz:
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models. CoRR abs/2110.02054 (2021) - [i4]Myeongjun Jang, Thomas Lukasiewicz:
Are Training Resources Insufficient? Predict First Then Explain! CoRR abs/2110.02056 (2021) - 2020
- [j4]Seungwan Seo, Deokseong Seo, Myeongjun Jang, Jaeyun Jeong, Pilsung Kang:
Unusual customer response identification and visualization based on text mining and anomaly detection. Expert Syst. Appl. 144: 113111 (2020) - [j3]Myeongjun Jang, Seungwan Seo, Pilsung Kang:
Corrigendum to "Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning" [Information Sciences 490 (2019) 59-73]. Inf. Sci. 512: 277 (2020) - [j2]Myeongjun Jang, Pilsung Kang:
Paraphrase thought: Sentence embedding module imitating human language recognition. Inf. Sci. 541: 123-135 (2020)
2010 – 2019
- 2019
- [j1]Myeongjun Jang, Seungwan Seo, Pilsung Kang:
Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning. Inf. Sci. 490: 59-73 (2019) - [i3]Myeongjun Jang, Pilsung Kang:
Sentence transition matrix: An efficient approach that preserves sentence semantics. CoRR abs/1901.05219 (2019) - 2018
- [i2]Myeongjun Jang, Seungwan Seo, Pilsung Kang:
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning. CoRR abs/1802.03238 (2018) - [i1]Myeongjun Jang, Pilsung Kang:
Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition. CoRR abs/1808.05505 (2018)
Coauthor Index
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