GenPlanX. Generation of Plans and Execution

The rapid advancement of AI has led to the development of techniques capable of understanding and executing complex tasks. Among these, Large Language Models (LLMs) have emerged as a powerful tool for interpreting natural language, enabling machines to comprehend and respond to human requests with remarkable accuracy [4]. However, the challenge remains in translating these requests into valid (and ideally optimal) plans that can be executed in real-world environments. In particular, we are interested on planning problems that involve the integration of standard office-related tasks, such as handling emails/calendars, managing presentations or databases, connecting to company APIs, or even running machine learning tasks. One of the pioneering efforts in this domain is the development of softbots, as introduced by Etizioni et al. [8].