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Myeongjun Erik Jang
Researcher, London NLP Team, MLCOE, J.P. Morgan Chase
Joined
May 2021
Names
Myeongjun Erik Jang
(Preferred)
,
Myeongjun Jang
,
M.J Jang
Emails
****@cs.ox.ac.uk
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
ACL Anthology
Career & Education History
Researcher
London NLP Team, MLCOE,
J.P. Morgan Chase
(jpmorganchase.com)
2024
–
Present
PhD student
Department of Computer Science,
University of Oxford
(ox.ac.uk)
2020
–
2025
Intern
London NLP Team, MLCOE,
J.P. Morgan Chase
(jpmorganchase.com)
2023
–
2024
Intern
Data science Lab,
Clifford Chance
(cliffordchance.com)
2023
–
2023
Researcher
NLP Team, AI Centre,
SK Telecom
(sktair.com)
2019
–
2020
MS student
Department of Industrial Management Engineering,
Korea University
(korea.ac.kr)
2017
–
2019
Undergrad student
Department of Industrial Management Engineering,
Korea University
(korea.ac.kr)
2013
–
2017
Advisors, Relations & Conflicts
PhD Advisor
Thomas Lukasiewicz
2020
–
2025
MS Advisor
Pilsung Kang
2017
–
2019
Expertise
Explainable AI
2020
–
Present
Trustworthy language modeling
2020
–
Present
Consistency of language models
2020
–
Present
Low-resource language learning
2017
–
2020
Publications
Pre-training and diagnosing knowledge base completion models
Vid Kocijan
,
Myeongjun Jang
,
Thomas Lukasiewicz
Artificial Intelligence
Readers:
Everyone
Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
Myeongjun Erik Jang
,
Thomas Lukasiewicz
EMNLP 2023 Main
Readers:
Everyone
Consistency Analysis of ChatGPT
Myeongjun Jang
,
Thomas Lukasiewicz
Published: 01 Jan 2023, Last Modified: 03 Oct 2023
CoRR 2023
Readers:
Everyone
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
Myeongjun Jang
,
Bodhisattwa Prasad Majumder
,
Julian J. McAuley
,
Thomas Lukasiewicz
,
Oana-Maria Camburu
Published: 01 Jan 2023, Last Modified: 03 Oct 2023
ACL (2) 2023
Readers:
Everyone
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
Myeongjun Jang
,
Bodhisattwa Prasad Majumder
,
Julian J. McAuley
,
Thomas Lukasiewicz
,
Oana-Maria Camburu
Published: 01 Jan 2023, Last Modified: 03 Oct 2023
CoRR 2023
Readers:
Everyone
NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models
Myeongjun Jang
,
Thomas Lukasiewicz
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Readers:
Everyone
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence
Myeongjun Jang
,
Frank Mtumbuka
,
Thomas Lukasiewicz
Published: 01 Jan 2022, Last Modified: 03 Oct 2023
NAACL-HLT (Findings) 2022
Readers:
Everyone
Sentence transition matrix: An efficient approach that preserves sentence semantics
Myeongjun Jang
,
Pilsung Kang
Published: 01 Jan 2022, Last Modified: 03 Oct 2023
Comput. Speech Lang. 2022
Readers:
Everyone
KoBEST: Korean Balanced Evaluation of Significant Tasks
Myeongjun Jang
,
Dohyung Kim
,
Deuk Sin Kwon
,
Eric Davis
Published: 01 Jan 2022, Last Modified: 03 Oct 2023
COLING 2022
Readers:
Everyone
BECEL: Benchmark for Consistency Evaluation of Language Models
Myeongjun Jang
,
Deuk Sin Kwon
,
Thomas Lukasiewicz
Published: 01 Jan 2022, Last Modified: 03 Oct 2023
COLING 2022
Readers:
Everyone
View all 24 publications
Co-Authors
Bodhisattwa Prasad Majumder
CzangYeob Kim
Czangyeob Kim
Deokseong Seo
Deuk Sin Kwon
Dohyeong Kim
Dohyung Kim
Eric Davis
Frank Mtumbuka
Jaeyun Jeong
Julian J. McAuley
Kyeongchan Park
Oana-Maria Camburu
Pilsung Kang
Seungwan Seo
Thomas Lukasiewicz
Vid Kocijan