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
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SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica S. Lam
Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents
Quinn Patwardhan, Grace Hui Yang
November 15, 2023
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