Myeongjun Jang

Gábor Stikkel

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift.

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[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

2023

Consistency Analysis of ChatGPT.

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[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.

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[DOI]

Bodhisattwa Prasad Majumder

Julian J. McAuley

Oana-Maria Camburu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models.

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[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Sentence transition matrix: An efficient approach that preserves sentence semantics.

[BibT_eX]

[DOI]

Comput. Speech Lang., 2022

KOBEST: Korean Balanced Evaluation of Significant Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence.

[BibT_eX]

[DOI]

Frank Mtumbuka

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

BECEL: Benchmark for Consistency Evaluation of Language Models.

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[DOI]

Deuk Sin Kwon

Proceedings of the 29th International Conference on Computational Linguistics, 2022

KoBEST: Korean Balanced Evaluation of Significant Tasks.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Are Training Resources Insufficient? Predict First Then Explain!

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[DOI]

CoRR, 2021

NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models.

[BibT_eX]

[DOI]

CoRR, 2021

Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models.

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[DOI]

Deuk Sin Kwon

CoRR, 2021

Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms.

[BibT_eX]

[DOI]

IEEE Access, 2021

Learning-Free Unsupervised Extractive Summarization Model.

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[DOI]

IEEE Access, 2021

2020

Corrigendum to "Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning" [Information Sciences 490 (2019) 59-73].

[BibT_eX]

[DOI]

Seungwan Seo

Inf. Sci., 2020

Paraphrase thought: Sentence embedding module imitating human language recognition.

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[DOI]