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Computer Science > Artificial Intelligence

arXiv:2403.04732 (cs)
[Submitted on 7 Mar 2024]

Title:How Far Are We from Intelligent Visual Deductive Reasoning?

Authors:Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei
Zhai, Josh Susskind, Navdeep Jaitly
Download a PDF of the paper titled How Far Are We from Intelligent
Visual Deductive Reasoning?, by Yizhe Zhang and 6 other authors
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    Abstract:Vision-Language Models (VLMs) such as GPT-4V have
    recently demonstrated incredible strides on diverse vision
    language tasks. We dig into vision-based deductive reasoning, a
    more sophisticated but less explored realm, and find previously
    unexposed blindspots in the current SOTA VLMs. Specifically, we
    leverage Raven's Progressive Matrices (RPMs), to assess VLMs'
    abilities to perform multi-hop relational and deductive reasoning
    relying solely on visual clues. We perform comprehensive
    evaluations of several popular VLMs employing standard strategies
    such as in-context learning, self-consistency, and
    Chain-of-thoughts (CoT) on three diverse datasets, including the
    Mensa IQ test, IntelligenceTest, and RAVEN. The results reveal
    that despite the impressive capabilities of LLMs in text-based
    reasoning, we are still far from achieving comparable proficiency
    in visual deductive reasoning. We found that certain standard
    strategies that are effective when applied to LLMs do not
    seamlessly translate to the challenges presented by visual
    reasoning tasks. Moreover, a detailed analysis reveals that VLMs
    struggle to solve these tasks mainly because they are unable to
    perceive and comprehend multiple, confounding abstract patterns
    in RPM examples.

Comments: ICLR 2024 AGI workshop
Subjects: Artificial Intelligence (cs.AI); Computation and Language
          (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
Cite as:  arXiv:2403.04732 [cs.AI]
          (or arXiv:2403.04732v1 [cs.AI] for this version)
          https://doi.org/10.48550/arXiv.2403.04732
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Yizhe Zhang [view email]
[v1] Thu, 7 Mar 2024 18:35:54 UTC (372 KB)
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