معرفی
Professor Ehud Reiter is a Chair in Computing Science at the Department of Computing Science, University of Aberdeen, School of Natural and Computing Sciences. He has been teaching and conducting research in Natural Language Generation (NLG) since 1995.
- Affiliation: University of Aberdeen
- Department: Computing Science
- School: School of Natural and Computing Sciences
His research focuses on Natural Language Generation (NLG), Explainable AI, and Human-Computer Interaction, with applications in health informatics and user-centered design. He emphasizes the importance of evaluating AI systems for real-world impact, particularly emotional appropriateness in patient-facing applications.
Prof. Reiter supervises students like Adarsa Sivaprasad (investigating user questions about AI models) and Nikolay Babakov (Bayesian networks and LLM integration). He is part of a thriving NLP research group at Aberdeen, exploring evaluation, interpretability, health applications, cognitive aspects, and cross-temporal research.
He critiques current LLM benchmarking practices, advocating for benchmarks that assess complex real-world criteria such as emotional impact. He also co-authored work on Bayesian networks with Jaime Sevilla, focusing on explainability and reuse challenges.
