Knowledge Grounded Conversation

Knowledge-grounded conversation aims to create AI systems that engage in informative and coherent dialogues by leveraging external knowledge sources. Current research focuses on improving the accuracy and faithfulness of generated responses by addressing issues like hallucinations and improving knowledge selection methods, often employing techniques like post-hoc refinement, topic transition modeling, and plan-grounded approaches within large language models. These advancements are significant for building more reliable and engaging conversational AI agents, with applications ranging from virtual assistants to educational tools.