PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models

• URL: http://arxiv.org/abs/2408.04648v1
• Date: Sat, 3 Aug 2024 13:21:08 GMT
• Title: PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models
• Authors: Alexey Tikhonov,
• Abstract summary: We present PLUGH, a modern benchmark that currently consists of 5 tasks, each with 125 input texts extracted from 48 different games. Our evaluation of API-based and open-sourced LLMs shows that while some commercial LLMs exhibit strong reasoning abilities, open-sourced competitors can demonstrate almost the same level of quality.
• Score: 13.615681132633561
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: We present PLUGH (https://www.urbandictionary.com/define.php?term=plugh), a modern benchmark that currently consists of 5 tasks, each with 125 input texts extracted from 48 different games and representing 61 different (non-isomorphic) spatial graphs to assess the abilities of Large Language Models (LLMs) for spatial understanding and reasoning. Our evaluation of API-based and open-sourced LLMs shows that while some commercial LLMs exhibit strong reasoning abilities, open-sourced competitors can demonstrate almost the same level of quality; however, all models still have significant room for improvement. We identify typical reasons for LLM failures and discuss possible ways to deal with them. Datasets and evaluation code are released (https://github.com/altsoph/PLUGH).

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