Author

Shang-Qing Huang

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#artificial intelligence Preprint Oct 2026

When MLLMs miss what humans read: diagnosing and learning to read squint text

Multimodal LLMs can fail to read text embedded in an image's coarse structure (text a human recovers by squinting) and report that no text is present. We name this class Squint Text and study it as a recognition deficiency, motivated by cases from a production moderation pipeline. We introduce SquintBench, comprising 1...

Chen Peng, Shang-Qing Huang, Jian-Bo Huang et al. · 0 citations

Open access 2026

TDG-LoRA: Token-Level Dynamic Gating for Mitigating Catastrophic Forgetting

Parameter-efficient fine-tuning (PEFT), particularly Low-Rank Adaptation (LoRA), is widely used to adapt large language models (LLMs) to specialized downstream domains. However, although the pretrained backbone remains frozen, a domain-adapted LoRA branch may interfere with the model’s original representations and pred...

Shu-Shan Zhu, Shang-Qing Huang, Xing-Yuan Chen · IEEE Access · 0 citations