Document Retrieval

Document retrieval aims to efficiently locate relevant information within large datasets, a crucial task across numerous fields. Current research focuses on improving retrieval accuracy and efficiency using various approaches, including vision-language models that leverage visual cues in documents, incremental learning methods to handle dynamic corpora, and fine-tuning pre-trained embeddings for specific domains like enterprise search. These advancements are significantly impacting information access in diverse applications, from scientific literature management to enhancing the performance of large language models and improving the user experience in semantic search.