Assessing GPT4-V on Structured Reasoning Tasks

• URL: http://arxiv.org/abs/2312.11524v1
• Date: Wed, 13 Dec 2023 08:54:49 GMT
• Title: Assessing GPT4-V on Structured Reasoning Tasks
• Authors: Mukul Singh, Jos\'e Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
• Abstract summary: We show that visual Chain-of-Thought, an extension of Chain-of-Thought to multi-modal LLMs, yields significant improvements over the vanilla model. We also present a categorized analysis of scenarios where these models perform well and where they struggle, highlighting challenges associated with coherent multimodal reasoning.
• Score: 17.903409875791056
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Multi-modality promises to unlock further uses for large language models. Recently, the state-of-the-art language model GPT-4 was enhanced with vision capabilities. We carry out a prompting evaluation of GPT-4V and five other baselines on structured reasoning tasks, such as mathematical reasoning, visual data analysis, and code generation. We show that visual Chain-of-Thought, an extension of Chain-of-Thought to multi-modal LLMs, yields significant improvements over the vanilla model. We also present a categorized analysis of scenarios where these models perform well and where they struggle, highlighting challenges associated with coherent multimodal reasoning.

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