M.J Erik Jang
Interests
Natural Language Understanding, Consistent and Trustworthy Language Model, Logical Reasoning.
Biography
M.J is a DPhil student in Computer Science at the University of Oxford. His current research focuses on investigating inconsistent behaviours of neural language models and developing remedies to alleviate the issues. M.J received a B.Sc degree in Industrial Management Engineering from Korea University in 2017 and earned an M.Eng degree in 2019 from the same affiliation. M.J has previously worked for SK Telecom in Seoul, South Korea, as a natural language processing (NLP) scientist & engineer from 2019 to 2020.
Selected Publications
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KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations
Myeongjun Jang‚ Bodhisattwa Prasad Majumder‚ Julian McAuley‚ Thomas Lukasiewicz and Oana−Maria Camburu
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto‚ Canada‚ July 9–14‚ 2023. Association for Computational Linguistics. July, 2023.
Details about KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations | BibTeX data for KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations
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Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
Myeongjun Erik Jang and Thomas Lukasiewicz
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023‚ Singapore‚ December 6−10‚ 2023. Association for Computational Linguistics. December, 2023.
Details about Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary | BibTeX data for Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
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Consistency Analysis of ChatGPT
Myeongjun Erik Jang and Thomas Lukasiewicz
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023‚ Singapore‚ December 6−10‚ 2023. Association for Computational Linguistics. December, 2023.
Details about Consistency Analysis of ChatGPT | BibTeX data for Consistency Analysis of ChatGPT