Dialogue Game

Dialogue games, encompassing various interactive scenarios like collaborative image-guessing or information-seeking, serve as crucial benchmarks for evaluating and improving language understanding in artificial intelligence. Current research focuses on enhancing model capabilities through techniques such as dialect adaptation in decoder models, multi-modal state tracking for visual reasoning, and preference optimization to improve question informativeness. These advancements aim to create more natural and effective conversational agents, impacting fields ranging from human-computer interaction to the development of more robust and nuanced language models.