在人工智能快速发展的今天，智能体的智能化程度不断提高，但我们往往忽略了它们如何理解人类——它们的创造者。人类的每一次互动都充满了意图和情感，而智能体如何捕捉并理解这些隐式意图，是一个重大的挑战。
清华大学、人民大学和腾讯的联合团队近期提出了一种新的智能体交互设计方案，旨在弥补这一缺失。他们引入了Intention-in-Interaction（IN3）这一基准测试，用以评估智能体对用户隐式意图的理解。基于Mistral-7B框架的Mistral-Interact模型，能够主动评估任务的模糊性，询问用户意图，并细化为可操作的目标。
该模型嵌入XAgent框架后，对智能体系统进行了全面评估，结果显示其在识别模糊任务、恢复和总结关键信息、设定精确目标等方面表现突出。这不仅填补了智能体与用户交互的空白，还将人类置于智能体设计的中心，意味着我们正在朝着设计更加符合人类意图的智能体迈进。
这一创新方法将有助于智能体更好地理解用户，提供更加自然、流畅和富有洞察力的沟通方式，为智能体的落地和广泛应用奠定了基础。
英语如下：
News Title: “Intelligent Agents Face New Challenges: Unveiling the Great Compilation of Human Subtle Intentions”
Keywords: Intelligent Agents, Intent Understanding, User Interaction
News Content: In the era of rapid artificial intelligence development, the intelligence level of intelligent agents is constantly being upgraded. However, we often overlook how they understand humans—their creators. Every interaction with humans is filled with intentions and emotions, and the challenge of how intelligent agents capture and understand these implicit intentions is significant.
A joint team from Tsinghua University, Renmin University of China, and Tencent recently proposed a new design scheme for intelligent agent interaction aimed at addressing this gap. They introduced the Intention-in-Interaction (IN3) benchmark test to evaluate the understanding of users’ implicit intentions by intelligent agents. The Mistral-Interact model, based on the Mistral-7B framework, can actively assess the ambiguity of tasks, inquire about user intentions, and refine them into actionable goals.
After embedding this model into the XAgent framework, a comprehensive evaluation of intelligent agent systems was conducted, showing outstanding performance in identifying ambiguous tasks, recovering and summarizing key information, and setting precise goals. This not only fills the void in the interaction between intelligent agents and users but also places humans at the center of intelligent agent design, indicating that we are moving towards designing intelligent agents that better align with human intentions.
This innovative approach will help intelligent agents better understand users, providing a more natural, smooth, and insightful way of communication. It lays the groundwork for the implementation and widespread use of intelligent agents.
【来源】https://www.jiqizhixin.com/articles/2024-08-11
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