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 …

Collecting and annotating task-oriented dialogues is time-consuming and costly; thus, zero
and few shot learning could greatly benefit dialogue state tracking (DST). In this work, we …

The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …

Knowledge selection is the key in knowledge-grounded dialogues (KGD), which aims to
select an appropriate knowledge snippet to be used in the utterance based on dialogue …

The goal of document-grounded dialogue (DocGD) is to generate a response by grounding
the evidence in a supporting document in accordance with the dialogue context. This …

Automatic psychological counseling requires mass of professional knowledge that can be
found in online counseling forums. Motivated by this, we propose K-ESConv, a novel prompt …

The goal-oriented document-grounded dialogue aims at responding to the user query based
on the dialogue context and supporting document. Existing studies tackle this problem by …

Conversational retrieval refers to an information retrieval system that operates in an iterative
and interactive manner, requiring the retrieval of various external resources, such as …

Incorporating conversational context and knowledge into dialogue generation models has
been essential for improving the quality of the generated responses. The context, comprising …

Abstract Knowledge-grounded dialogue is a task that utilizes external knowledge to
generate appropriate and fluent responses to statements. Owing to the relevance of …