Chaehun Park

According to our database1, Chaehun Park authored at least 11 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Learning to Diversify Neural Text Generation via Degenerative Model.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Vehicle Lateral Motion Modeling Using Data-Driven Method.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset.
CoRR, 2021

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation.
CoRR, 2021

An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation.
CoRR, 2021

Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021


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