Conversational QA

Conversational Question Answering (ConvQA) focuses on developing systems that can engage in natural, multi-turn question-answering dialogues, going beyond simple single-turn interactions. Current research emphasizes improving the accuracy and contextual relevance of responses, often using large language models (LLMs) like GPT-4 and Gemini, and addressing data scarcity through automated dataset generation techniques. This field is crucial for advancing human-computer interaction and has significant implications for various applications, including customer service, finance, and education, by enabling more natural and informative interactions with AI systems.