Large language models can now directly generate answers to many factual questions
without referencing external sources. Unfortunately, relatively little attention has been paid to …

The rapid development of Large Language Models (LLMs) has led to a surge in applications
that facilitate collaboration among multiple agents, assisting humans in their daily tasks …

The rapid advancement of natural language processing, information retrieval (IR), computer
vision, and other technologies has presented significant challenges in evaluating the …

Research has already found that many retrieval methods are sensitive to the choice and
order of terms that appear in a query, which can significantly impact retrieval effectiveness …

Traditional search evaluation metrics, such as MRR and NDCG, focus on absolute
measures of effectiveness. While they allow us to compare the absolute performance of one …

Information retrieval systems increasingly incorporate generative components. For example,
in a retrieval augmented generation (RAG) system, a retrieval component might provide a …

Recent empirical studies have shown that while neural rankers exhibit increasingly higher
retrieval effectiveness on tasks such as ad hoc retrieval, these improved performances are …

Research has already found that many retrieval methods are sensitive to the choice and
order of terms that appear in a query, which can significantly impact retrieval effectiveness …