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Google DeepMind has introduced a new benchmark called NATURAL PLAN for evaluating the natural language planning capabilities of large language models (LLMs). This realistic planning benchmark focuses on three key tasks: Trip Planning, Meeting Planning, and Calendar Scheduling. It aims to test how well LLMs can generate coherent step-by-step plans to accomplish complex tasks described in natural language. The evaluation utilizes outputs from tools like Google Flights, Maps, and Calendar, providing relevant information in the context to the models. The benchmark is surprisingly challenging for state-of-the-art (SotA) models.
Introducing NATURAL PLAN 🔥: a realistic planning benchmark in natural language! Key features: - 3 main tasks: Trip Planning, Meeting Planning, and Calendar Scheduling. - Supplies in the context all relevant information to the model (e.g., Google Flights, Maps, Calendar)… https://t.co/swDouhd5Dj
Introducing NATURAL PLAN 🔥: a realistic planning benchmark in natural language! Key features: - 3 main tasks: Trip Planning, Meeting Planning, and Calendar Scheduling. - Supplies in the context all relevant information to the model (e.g., Google Flights, Maps, Calendar) - No… https://t.co/tCouHcFmlx
Google DeepMind published NATURAL PLAN benchmark for evaluating LLMs on real-world planning tasks. ✅ It focuses on Trip Planning, Meeting Planning, and Calendar Scheduling, using outputs from tools like Google Flights, Maps, and Calendar. ✅ The goal is to test how well LLMs… https://t.co/ECDzq1oALy
