معرفی
Charlie Clarke is a Professor at the School of Computer Science at the University of Waterloo. His research focuses on information retrieval, search systems, data mining, and software tools, with recent emphasis on evaluating Large Language Models (LLMs) in relevance judgment and search engine optimization.
He authored the influential textbook Information Retrieval: Implementing and Evaluating Search Engines (MIT Press, 2010), and has organized workshops such as LLM4Eval and Search Futures at top-tier conferences like ECIR and SIGIR. His work bridges theoretical IR methodologies with practical applications, emphasizing robustness and human-AI collaboration.
Recent research trends include adversarial attacks on neural ranking models (EMPRA), preference-based evaluation frameworks, and ethical considerations in LLM benchmarking. He actively contributes to NTCIR and TREC initiatives, advancing reproducibility and community-driven testbeds.
Charlie’s lab collaborates on projects like KnowFIRES (knowledge-graph-based search interpretation) and has explored mobile push notification systems, emphasizing user-centric metrics.
