People are susceptible to an array of cognitive biases, which can result in systematic errors
and deviations from rational decision making. Over the past decade, an increasing amount …

With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

Fact verification (FV) is a challenging task which aims to verify a claim using multiple
evidential sentences from trustworthy corpora, eg, Wikipedia. Most existing approaches …

In learning-to-rank for information retrieval, a ranking model is automatically learned from
the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal …

Many current effectiveness measures incorporate simplifying assumptions about user
behavior. These assumptions prevent the measures from reflecting aspects of the search …

In this article, we identify, compare, and contrast theoretical constructs for the fields of
information searching and information retrieval to emphasize the uniqueness of and synergy …

The results of information retrieval (IR) are usually presented in the form of a ranking list of
candidate documents, such as web search for humans and retrieval-augmented generation …

Although we see the positive results of information retrieval research embodied throughout
the Internet, on our computer desktops, and in many other aspects of daily life, at the same …

Searching is inherently an interactive process usually requiring numerous iterations of
querying and assessing in order to find the desired amount of relevant information …