Complex QA and language models hybrid architectures, Survey

A recent survey paper published on arXiv reviews advancements in large language models (LLMs) with a particular focus on their application in complex question-answering through hybrid architectures. The study highlights that while LLM-based chatbots have shown considerable potential in addressing common issues, they often face challenges when dealing with more intricate questions. This limitation underscores the need for improved strategies to enhance their performance in complex scenarios. The paper emphasizes hybrid architectures as a promising approach to overcome these difficulties, suggesting that combining different methods may lead to better outcomes. Overall, the findings reflect both the strengths and current shortcomings of LLM chatbots in complex question-answering tasks. This balanced perspective provides valuable insights for future research aimed at refining LLM capabilities.