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Yufei Kliebert(Tao)
CS NLP PhD Candidate | Portland State University
tao.yufei@icloud.com
LinkedIn / Google Scholar / PortNLP Lab
Publications
- CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences
Rhitabrat Pokharel, Yufei Tao, Ameeta Agrawal
International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP & AACL), 2025 - “Lost-in-the-Later”: Framework for Quantifying Contextual Grounding in Large Language Models
Yufei Tao, Adam Hiatt, Rahul Seetharaman, Ameeta Agrawal
Grounding Documents with Reasoning, Agents, Retrieval, and Attribution at IEEE International Conference on Data Mining (ICDM), 2025 - When Context Leads but Parametric Memory Follows in Large Language Models
Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. - Training Practitioners for Real-time Product Development Using Generative Artificial Intelligence
Antonie J. Jetter, Ameeta Agrawal, Dahm Mongkol Hongchai, Charles M. Weber, and Yufei Tao.
2024 Portland International Conference on Management of Engineering and Technology (PICMET), pp. 1-11. IEEE, 2024. - ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness
Yufei Tao, Ameeta Agrawal, Judit Dombi, Tetyana Sydorenko, Jung In Lee.
Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024. - Spoken Dialogue Systems and ChatGPT for Second Language Pragmatics Research
Tetyana Sydorenko, Judit Dombi, Ameeta Agrawal, Steven Thorne, Jung In Lee, Yufei Tao
Chapter 29 in Routledge Handbook of Technological Advances in Researching Language Learning, Routledge, 2024, pp. 378–391. - Making a Long Story Short in Conversation Modeling
Yufei Tao, Tiernan Mines, Ameeta Agrawal.
Towards Ethical and Inclusive Conversational AI (TEICAI) at EACL 2024.