Author

Jianing Li

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Jul 2026

Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities

This work constructed Illusion-Reasoning, a benchmark of illusion images collected from the real world, incorporating diverse annotated question-answer pairs, and shows that the reasoning capabilities of a wide range of LVLMs are not as advanced as claimed.

Liang Zhao, Jiaqing Lyu, Kexin Tang et al. · arXiv.org · 0 citations

Preprint Jul 2026

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies

The findings reveal that transformer-based large language models exhibit learning patterns similar to those of human learners, with a faster learning speed for simpler subtasks compared to more complex ones, which suggests that transformer-based LLMs may share cognitive processes with human learners in arithmetic.

Luyu Qiu, Jianing Li, Hwanhee Kim et al. · 0 citations