Conversational Information

Conversational information seeking (CIS) focuses on developing systems that engage in natural language dialogues to retrieve and present information, aiming to improve the efficiency and naturalness of human-computer interaction for information access. Current research emphasizes improving the accuracy and factual grounding of responses generated by large language models (LLMs), often through techniques like query rewriting, contextual memory management (e.g., common ground approaches), and the development of robust evaluation benchmarks. This field is significant because it addresses the limitations of traditional information retrieval systems and has the potential to revolutionize how people interact with information sources, impacting areas like conversational search engines and personalized knowledge assistants.