Hector Martinez Alonso

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution

This work evaluates the potential of large language models (LLMs) to power digital assistants capable of complex action execution. Such assistants rely on pre-trained programming knowledge to execute multi-step goals by composing objects and functions defined in assistant libraries into action execu…