Chaehun Park
According to our database1,
Chaehun Park
authored at least 17 papers
between 2021 and 2024.
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Bibliography
2024
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration.
CoRR, 2024
PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments.
CoRR, 2024
CoRR, 2024
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023
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
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
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