Conversational Agent
Conversational agents, or chatbots, aim to create AI systems capable of engaging in natural, human-like dialogue to accomplish various tasks. Current research emphasizes improving long-term memory, context understanding, and the ability to handle complex, multi-turn conversations, often employing large language models (LLMs) and retrieval-augmented generation (RAG) techniques. These advancements are driving progress in diverse applications, including customer service, education, and even creative fields like theatre, while also raising important ethical considerations regarding safety, bias, and user interaction.
Papers
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh