Human Dialogue

Human dialogue research aims to understand and replicate the complexities of human conversation, focusing on aspects like collaboration, intent recognition, and adherence to social norms. Current research heavily utilizes large language models (LLMs) to generate and analyze dialogue data, employing techniques like parameter-efficient fine-tuning and in-context learning to create more realistic and nuanced interactions, often augmented by multimodal information like speech. This work is significant for advancing human-computer interaction, improving virtual assistants, and creating more sophisticated AI systems capable of natural and socially appropriate communication.