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
RoleInteract: Evaluating the Social Interaction of Role-Playing Agents
Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou
Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
Ilias Chalkidis, Stephanie Brandl