Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

Visual reasoning requires multimodal perception and commonsense cognition of the world.
Recently, multiple vision-language models (VLMs) have been proposed with excellent …

With the recent advance in large pre-trained language models, researchers have achieved
record performances in NLP tasks that mostly focus on language pattern matching. The …

CQA systems aim to create interactive search systems that effectively retrieve information by
interacting with users. To replicate human-to-human conversations, existing work uses …

The problem of Question Answering (QA) has attracted significant research interest for long.
Its relevance to language understanding and knowledge retrieval tasks, along with the …

Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving.
In recent years, a growing number of studies have recognized the benefits of empathy and …

Effective passage retrieval is crucial for conversation question answering (QA) but
challenging due to the ambiguity of questions. Current methods rely on the dual-encoder …

This perspective paper proposes a series of interactive scenarios that utilize Artificial
Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion …

The tremendous advancements in deep learning techniques have empowered question
answering (QA) systems with the capability of dealing with various tasks. Many commercial …