Why Using LLMs for Quality Estimation Is Challenging and Complex

Amir Soleimani is a Senior NLP Engineer at TAUS, where he focuses on enhancing the performance of NLP models, particularly in Quality Estimation (QE) and Automatic Post-Editing (APE). He earned his Ph.D. from the University of Amsterdam in 2024, where his research centered on natural language processing applications for information verification. His work combines machine learning and AI with a strong commitment to advancing language technologies that improve the quality of multilingual content and information.