Plant in Cupboard, Orange on Table, Book on Shelf. Benchmarking Practical Reasoning and Situation Modelling in a Text-Simulated Situated Environment

• URL: http://arxiv.org/abs/2502.11733v1
• Date: Mon, 17 Feb 2025 12:20:39 GMT
• Title: Plant in Cupboard, Orange on Table, Book on Shelf. Benchmarking Practical Reasoning and Situation Modelling in a Text-Simulated Situated Environment
• Authors: Jonathan Jordan, Sherzod Hakimov, David Schlangen,
• Abstract summary: Large language models (LLMs) have risen to prominence as 'chatbots' for users to interact via natural language. We have implemented a simple text-based environment that simulates, very abstractly, a household setting. Our findings show that environmental complexity and game restrictions hamper performance.
• Score: 18.256529559741075
• License:
• Abstract: Large language models (LLMs) have risen to prominence as 'chatbots' for users to interact via natural language. However, their abilities to capture common-sense knowledge make them seem promising as language-based planners of situated or embodied action as well. We have implemented a simple text-based environment -- similar to others that have before been used for reinforcement-learning of agents -- that simulates, very abstractly, a household setting. We use this environment and the detailed error-tracking capabilities we implemented for targeted benchmarking of LLMs on the problem of practical reasoning: Going from goals and observations to actions. Our findings show that environmental complexity and game restrictions hamper performance, and concise action planning is demanding for current LLMs.

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