Summary of A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-sense Of Llms in a 3d Embodied Environment, by Matteo G. Mecattaf et al.
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment
by Matteo G. Mecattaf, Ben Slater, Marko Tešić, Jonathan Prunty, Konstantinos Voudouris, Lucy G. Cheke
First submitted to arxiv on: 30 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper presents a new approach to evaluating Large Language Models’ (LLMs) physical common-sense reasoning abilities. Traditional benchmarks often rely on static text or images, which do not accurately capture the complexity of real-life physical processes. The authors propose “embodied” LLMs, where the model controls an agent within a 3D environment, allowing for direct comparison with other embodied agents and human/animal cognition. The study employs the Animal-AI (AAI) environment and AAI Testbed to replicate laboratory studies on distance estimation, tracking out-of-sight objects, and tool use. Results show that state-of-the-art LLMs can complete these tasks without fine-tuning but are currently outperformed by human children. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how computers can learn to understand the physical world. Right now, most computer programs rely on text or images to understand what’s happening. But in real life, things don’t always work that way. This research proposes a new way of testing computers’ understanding of physics by giving them control over a simulated 3D environment. The goal is to make computers more like humans and animals, able to reason about the physical world. The study uses a virtual lab to test computers’ abilities in tasks such as estimating distances, tracking hidden objects, and using tools. While current computer models can perform these tasks, they still lag behind human children. |
Keywords
» Artificial intelligence » Fine tuning » Tracking
