We introduce and define the novel problem of multi-distribution informat...
Many information retrieval tasks require large labeled datasets for
fine...
Retrieval-augmented in-context learning has emerged as a powerful approa...
Neural information retrieval (IR) systems have progressed rapidly in rec...
Language models (LMs) are becoming the foundation for almost all major
l...
Pre-trained language models are increasingly important components across...
Recent progress in neural information retrieval has demonstrated large g...
Neural information retrieval (IR) has greatly advanced search and other
...
Many text generation systems benefit from using a retriever to retrieve
...
Neural information retrieval systems typically use a cascading pipeline,...
Multi-hop reasoning (i.e., reasoning across two or more documents) at sc...
Systems for Open-Domain Question Answering (OpenQA) generally depend on ...
Recent progress in Natural Language Understanding (NLU) is driving fast-...