Media bias, ie, slanted news coverage, can strongly impact the public perception of the
reported topics. In the social sciences, research over the past decades has developed …

We introduce INSTRUCTOR, a new method for computing text embeddings given task
instructions: every text input is embedded together with instructions explaining the use case …

The popularity of LLaMA (Touvron et al., 2023a; b) and other recently emerged moderate-
sized large language models (LLMs) highlights the potential of building smaller yet powerful …

Large Language Models (LMs) are known to encode world knowledge in their parameters
as they pretrain on a vast amount of web corpus, which is often utilized for performing …

We study the problem of retrieval with instructions, where users of a retrieval system
explicitly describe their intent along with their queries. We aim to develop a general-purpose …

In this paper, we present a new embedding model, called M3-Embedding, which is
distinguished for its versatility in Multi-Linguality, Multi-Functionality, and Multi-Granularity. It …

An essential operation in web corpus construction consists in retaining the desired content
while discarding the rest. Another challenge finding one's way through websites. This article …

Easy access, variety of content, and fast widespread interactions are some of the reasons
making social media increasingly popular. However, this rise has also enabled the …

There is an abundance of misinformation, disinformation, and “fake news” related to COVID-
19, leading the director-general of the World Health Organization to term this an 'infodemic' …

Media has a substantial impact on public perception of events, and, accordingly, the way
media presents events can potentially alter the beliefs and views of the public. One of the …