Author

Bin Li

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Preprint Sep 2026

From Sharp Eyes to Expert Mind: Internalizing Expert Knowledge in MLLMs for Tampered Text Detection

Tampered Text Detection (TTD) is essential for safeguarding document authenticity in security-critical workflows. Existing expert models are effective at capturing subtle manipulation traces but often generalize poorly across diverse document domains, while Multimodal Large Language Models (MLLMs) offer stronger semant...

Kai-Qing Lin, Song-Ze Li, Shen Chen et al. · 0 citations

Preprint Sep 2026

Evidence-Guided Detection, Localization and Explanation for Text-Centric Image Forensics

The rapid progress of AIGC has made text-centric image manipulation increasingly accessible, creating new forensic challenges that require not only authenticity detection but also spatial grounding and evidence-based explanation. This paper presents our solution to the GenText-Forensics Challenge at ACM Multimedia 2026...

Pei-Feng Liu, Bin Li, Qing-Song Zhang et al. · 0 citations

Jul 2026

ThinkOmni: A Reasoning-Driven Omni-Modal LLM Framework for Audio Forgery Detection and Localization

This work proposes ThinkOmni, a reasoning-driven omni-modal large language model that jointly performs explicit forensic reasoning, spoofing detection, and temporal manipulation localization and proposes Forensic-Consistent Multi-task Loss (FCML), which combines weighted cross-entropy with an adaptive localization loss...

Yuxiong Xu, Kaiqing Lin, Bin Li et al. · arXiv.org · 0 citations