TREC Evaluation

TREC evaluation provides standardized benchmarks for assessing information retrieval (IR) systems, focusing on ranking the relevance of retrieved documents or answers to user queries. Current research emphasizes the use of large language models (LLMs) within these evaluations, exploring novel architectures like listwise ranking and tournament-based approaches to improve ranking accuracy and address challenges such as limited input length and bias. This rigorous evaluation framework is crucial for advancing IR technology, fostering fairer and more effective search engines and question-answering systems across various languages and domains.