Myeongjun Jang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 23

Top Topics

Transition Matrix

Top Venues

Publications

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 (2023)
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)
Myeongjun Jang, Thomas Lukasiewicz
Consistency Analysis of ChatGPT. EMNLP (2023)
Myeongjun Jang, Thomas Lukasiewicz
Consistency Analysis of ChatGPT. CoRR (2023)
Myeongjun Jang, Thomas Lukasiewicz
Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. EMNLP (2023)
Myeongjun Jang, Dohyung Kim, Deuk Sin Kwon, Eric Davis
KoBEST: Korean Balanced Evaluation of Significant Tasks. COLING (2022)
Myeongjun Jang, Pilsung Kang
Sentence transition matrix: An efficient approach that preserves sentence semantics. Comput. Speech Lang. 71 (2022)
Dohyeong Kim, Myeongjun Jang, Deuk Sin Kwon, Eric Davis
KOBEST: Korean Balanced Evaluation of Significant Tasks. CoRR (2022)
Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. CoRR (2022)
Myeongjun Jang, Thomas Lukasiewicz
NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz
BECEL: Benchmark for Consistency Evaluation of Language Models. COLING (2022)
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 (2021)
Myeongjun Jang, Thomas Lukasiewicz
Are Training Resources Insufficient? Predict First Then Explain! CoRR (2021)
Myeongjun Jang, Pilsung Kang
Learning-Free Unsupervised Extractive Summarization Model. IEEE Access 9 (2021)
Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models. CoRR (2021)
Myeongjun Jang, Thomas Lukasiewicz
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models. CoRR (2021)
Myeongjun Jang, Pilsung Kang
Paraphrase thought: Sentence embedding module imitating human language recognition. Inf. Sci. 541 (2020)
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 (2020)
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 (2020)
Myeongjun Jang, Pilsung Kang
Sentence transition matrix: An efficient approach that preserves sentence semantics. CoRR (2019)
Myeongjun Jang, Seungwan Seo, Pilsung Kang
Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning. Inf. Sci. 490 (2019)
Myeongjun Jang, Pilsung Kang
Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition. CoRR (2018)
Myeongjun Jang, Seungwan Seo, Pilsung Kang
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning. CoRR (2018)