Large language models have been shown to struggle with multi-step reasoning, and do not
retain previous reasoning steps for future use. We propose a simple method for solving both …

Questions Under Discussion (QUD) is a versatile linguistic framework in which discourse
progresses as continuously asking questions and answering them. Automatic parsing of a …

Advancements in conversational systems have revolutionized information access,
surpassing the limitations of single queries. However, developing dialogue systems requires …

Hot news is one of the most popular topics in daily conversations. However, news grounded
conversation has long been stymied by the lack of well-designed task definition and scarce …

Evaluating conversational information retrieval (CIR) systems is a challenging task that
requires a significant amount of human labor for annotation. It is imperative to invest …

Conversational search, unlike single-turn retrieval tasks, requires understanding the current
question within a dialogue context. The common approach of rewrite-then-retrieve aims to …

Conversational search provides a natural interface for information retrieval (IR). Recent
approaches have demonstrated promising results in applying dense retrieval to …

Recent advancements in conversational systems have significantly enhanced human-
machine interactions across various domains. However, training these systems is …

Educational chatbots are a promising tool for assisting student learning. However, the
development of effective chatbots in education has been challenging, as high-quality data is …

Most conversational passage retrieval systems try to resolve conversational dependencies
by using an intermediate query resolution step. To do so, they synthesize conversational …