MIRACL is a multilingual dataset for ad hoc retrieval across 18 languages that collectively
encompass over three billion native speakers around the world. This resource is designed to …

This paper presents the first few-shot LLM-based chatbot that almost never hallucinates and
has high conversationality and low latency. WikiChat is grounded on the English Wikipedia …

MIRACL (Multilingual Information Retrieval Across a Continuum of Languages) is a
multilingual dataset we have built for the WSDM 2023 Cup challenge that focuses on ad hoc …

Two key assumptions shape the usual view of ranked retrieval:(1) that the searcher can
choose words for their query that might appear in the documents that they wish to see, and …

Benefiting from transformer-based pre-trained language models, neural ranking models
have made significant progress. More recently, the advent of multilingual pre-trained …

Pretrained language models have improved effectiveness on numerous tasks, including ad-
hoc retrieval. Recent work has shown that continuing to pretrain a language model with …

HC4 is a new suite of test collections for ad hoc Cross-Language Information Retrieval
(CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in …

Recently, the pandemic caused by COVID-19 is severe in the entire world. The prevention
and control of crimes associated with COVID-19 are critical for controlling the pandemic …

Learning sparse representations using pretrained language models enhances the
monolingual ranking effectiveness. Such representations are sparse vectors in the …

Abstract Finetuning Pretrained Language Models (PLM) for IR has been de facto the
standard practice since their breakthrough effectiveness few years ago. But, is this approach …