Unverified50% confidenceFactExact time
Current 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
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.75% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.74% similarVerifiedLarge language models are prone to forgetting early information or hallucinating during long conversations, which in programming manifests as fabricating non-existent APIs or generating logically incorrect code.72% similarVerified大语言模型在长时间对话中会因上下文窗口限制而丢失早期信息72% similar
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