M.J Erik Jang : Publications

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@article{KJL-AIJ-2024,
  title = "Pre-training and Diagnosing Knowledge Base Completion Models",
  author = "Vid Kocijan and Myeongjun Jang and Thomas Lukasiewicz",
  year = "2024",
  journal = "Artificial Intelligence",
  month = "April",
  number = "104081",
  url = "https://doi.org/10.1016/j.artint.2024.104081",
  volume = "329",
}

@inproceedings{JMMLC-ACL-2023,
  title = "KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations",
  author = "Myeongjun Jang and Bodhisattwa Prasad Majumder and Julian McAuley and Thomas Lukasiewicz and Oana-Maria Camburu",
  year = "2023",
  booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto, Canada, July 9--14‚ 2023",
  month = "July",
  publisher = "Association for Computational Linguistics",
}

@inproceedings{JL-EMNLPb-2023,
  title = "Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary",
  author = "Myeongjun Erik Jang and Thomas Lukasiewicz",
  year = "2023",
  booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023, Singapore, December 6-10, 2023",
  month = "December",
  publisher = "Association for Computational Linguistics",
}

@inproceedings{JL-EMNLPa-2023,
  title = "Consistency Analysis of ChatGPT",
  author = "Myeongjun Erik Jang and Thomas Lukasiewicz",
  year = "2023",
  booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023, Singapore, December 6-10, 2023",
  month = "December",
  publisher = "Association for Computational Linguistics",
}

@article{TASL-JL-2022,
  title = "NoiER: An Approach for Training more Reliable Fine-Tuned Downstream Task Models",
  author = "Myeongjun Jang and Thomas Lukasiewicz",
  year = "2022",
  journal = "IEEE Transactions on Audio, Speech and Language Processing",
  month = "July",
  pages = "2514--2525",
  url = "http://dx.doi.org/10.1109/TASLP.2022.3193292",
  volume = "30",
}

@inproceedings{JML-NAACL-2022,
  title = "Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence",
  author = "Myeongjun Jang and Frank Martin Mtumbuka and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Findings of NAACL 2022, Seattle, Washington, USA, July 2022",
  month = "July",
  pages = "2030--2042",
  publisher = "Association for Computational Linguistics",
  url = "http://dx.doi.org/10.18653/v1/2022.findings-naacl.156",
}

@inproceedings{JANG-COLING2022-BECEL,
  title = "BECEL: Benchmark for Consistency Evaluation of Language Models",
  author = "Myeongjun Jang and Deuk Sin Kwon and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 2022",
  month = "October",
  pages = "3680--3696",
  publisher = "International Committee on Computational Linguistics",
  url = "https://aclanthology.org/2022.coling-1.324/",
}

@inproceedings{JANG-COLING2022-KOBEST,
  title = "KoBEST: Korean Balanced Evaluation of Significant Tasks",
  author = "Dohyung Kim and Myeongjun Jang and Deuk Sin Kwon and Eric Davis",
  year = "2022",
  booktitle = "Proceedings of International Conference on Computational Linguistics (COLING) 2022, Gyeongju, Republic of Korea, October 2022",
  publisher = "International Committee on Computational Linguistics",
  url = "https://aclanthology.org/2022.coling-1.325/",
}

@article{9321308,
  title = "Learning-Free Unsupervised Extractive Summarization Model",
  author = "Jang, Myeongjun and Kang, Pilsung",
  year = "2021",
  journal = "IEEE Access",
  pages = "14358-14368",
  volume = "9",
  doi = "10.1109/ACCESS.2021.3051237",
}

M.J Erik Jang : Publications

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