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 …

Conversational question answering (QA) requires the ability to correctly interpret a question
in the context of previous conversation turns. We address the conversational QA task by …

We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues
grounded in multiple documents. Most previous works treat document-grounded dialogue …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

Query performance prediction (QPP) is a core task in information retrieval. The QPP task is
to predict the retrieval quality of a search system for a query without relevance judgments …

Evaluation efforts such as TREC, CLEF, NTCIR and FIRE, alongside public leaderboard
such as MS MARCO, are intended to encourage research and track our progress …

As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …

Generating fluent and informative natural responses while main-taining representative
internal states for search optimization is critical for conversational search systems. Existing …

In a conversational context, a user converses with a system through a sequence of natural-
language questions, ie, utterances. Starting from a given subject, the conversation evolves …

Conversational passage retrieval relies on question rewriting to modify the original question
so that it no longer depends on the conversation history. Several methods for question …