Conversational Task

Conversational task research focuses on enabling computers to engage in natural, multi-turn interactions with humans to accomplish specific goals, ranging from simple question-answering to complex task assistance. Current research emphasizes developing robust agent architectures, often leveraging large language models (LLMs) augmented with memory, tools, and reinforcement learning, to handle diverse conversational scenarios and improve performance on various tasks like web navigation and product information retrieval. This field is crucial for advancing human-computer interaction, with implications for diverse applications including education, e-commerce, and robotics, particularly in addressing challenges like cross-lingual transfer and efficient few-shot learning.