Unverified50% confidenceFactExact time
Large language models perform well on textual versions of similar questions, but when the task is presented in pure image form without text descriptions, accuracy often drops significantly.
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50%
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Long-term
Relevance
10/12/2026
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Related Claims
UnverifiedCurrent mainstream large language models perform excellently when processing plain text, but have significant bottlenecks in understanding non-text formats such as tables, flowcharts, and screenshots.78% similarUnverifiedVision-language models tend to rewrite anomalous, incomplete, or unconventional text into linguistically smoother expressions during OCR, compromising the faithfulness of the transcription76% similarUnverifiedCurrent multimodal large language models often fail to recognize text in low-resolution, blurry embedded-text scenarios, and even report that there is no text in the image.76% similarUnverifiedWhen large language models are trained on text generated by other AI, the readability of the output declines.76% similar
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