Yejin Jeon
According to our database1,
Yejin Jeon
authored at least 15 papers
between 2020 and 2025.
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Bibliography
2025
CoRR, April, 2025
PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024
Leveraging Effective Language and Speaker Conditioning In Indic TTS for Limmits 2024 Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2024
Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Leveraging the Interplay between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
2021
3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020