معرفی
Yulia Tsvetkov is an Associate Professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering. Previously, she was an Assistant Professor at Carnegie Mellon University (CMU) and holds a PhD from CMU. Her research focuses on Natural Language Processing (NLP), AI ethics, multilingual learning, and large language models. She leads a research group advancing ethical AI, NLP fairness, and cross-cultural language technologies.
Education:
- PhD in Language Technologies, Carnegie Mellon University
- Postdoctoral research at Stanford NLP Group
- M.Sc. in Computer Science (Multi-word Expressions), University of Haifa
Research Interests:
- Hybrid solutions combining machine learning with linguistic theory
- Addressing ethical challenges in AI
- Multilingual NLP for underrepresented languages
- Large language model robustness and alignment
Recent Work Trends: Recent publications emphasize ethical AI, bias mitigation, and cross-lingual fairness. Notable contributions include frameworks for knowledge-aware LLMs and methods to detect/hallucination.
Awards:
- Best Paper Award (MatFormer, 2023)
- Outstanding Paper Award (Don't Hallucinate..., 2024)
- Wikimedia Foundation Award (Controlled Analyses..., 2021)
Teaching: Teaches graduate courses on Ethics in AI and undergraduate NLP at UW. Previously taught Multilingual NLP at CMU.
Labs/Teams: Leads the Tsvetkov Lab focused on ethical and equitable NLP systems.
