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

arXiv:2609.36145 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Trace — 19× in this paper · explained in 2 episodes
• Alignment — 17× in this paper · explained in 1 episode
• Generalization — 14× in this paper · explained in 13 episodes
• Tampered Text Detection — 11× in this paper
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Expert Knowledge Internalization — 7× in this paper
• Ablation — 6× in this paper · explained in 1 episode
• External Reliance — 6× in this paper
• Granularity Mismatch — 6× in this paper · explained in 2 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Forensic-General Representation Alignment — 4× in this paper
• Representation Learning — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Instruction Tuning — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Transferability — 3× in this paper · explained in 4 episodes
• Two-Stage Framework — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Abstraction — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Task Decomposition — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Frequency-Domain Analysis — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Late Fusion — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Qwen2.5-VL Technical Report
• TextSleuth: Towards Explainable Tampered Text Detection
• Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
• AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models
• Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection
• Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
• IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
• PaddleOCR 3.0 Technical Report
• FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
• X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection
• Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
• Visual Representation Alignment for Multimodal Large Language Models
• DINOv2: Learning Robust Visual Features without Supervision
• Decoupled Weight Decay Regularization
• ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
• Qwen3-VL Technical Report

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