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 …

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 …

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 …

This review explores the transformative integration of artificial intelligence (AI) and
healthcare through conversational AI leveraging Natural Language Processing (NLP) …

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 …

Recent advancements in natural language processing have given rise to numerous pre-
training language models in question-answering systems. However, with the constant …

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 …

Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were
constructed to store large-scale, real-world facts as (subject, predicate, object) triples-that …