This paper reviews the state-of-the-art of language models architectures and strategies for"
complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large …

Existing modular Reinforcement Learning (RL) architectures are generally based on
reusable components, also allowing for``plug-and-play''integration. However, these modules …

Human-like chatbots–machines that can act as humans to chat about any topic–need to
listen, understand, reason, respond, and interactively learn to optimize the whole process …