Cover Image

Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schmidberger, Valentin, Eberhardinger, Manuel, Maghsudi, Setareh, Maucher, Johannes
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

Anonymization of Documents for Law Enforcement with Machine Learning
by: Eberhardinger, Manuel, et al.
Published: (2025)

From Code to Play: Benchmarking Program Search for Games Using Large Language Models
by: Eberhardinger, Manuel, et al.
Published: (2024)

Pareto Multi-Objective Alignment for Language Models
by: He, Qiang, et al.
Published: (2025)

Classification of Inkjet Printers based on Droplet Statistics
by: Takenaka, Patrick, et al.
Published: (2024)

Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
by: Dodwadmath, Akshay, et al.
Published: (2025)

Evaluating the Impact of Data Anonymization on Image Retrieval
by: Chen, Marvin, et al.
Published: (2026)

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
by: He, Qiang, et al.
Published: (2024)

One Model for All: Multi-Objective Controllable Language Models
by: He, Qiang, et al.
Published: (2026)

Programmatic Video Prediction Using Large Language Models
by: Tang, Hao, et al.
Published: (2025)

Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies
by: Chen, Dillon Z., et al.
Published: (2025)

Assessing the Interpretability of Programmatic Policies with Large Language Models
by: Bashir, Zahra, et al.
Published: (2023)

Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence
by: Habibi, Alireza, et al.
Published: (2025)

Field-Localized Forgery Detection for Digital Identity Documents
by: Kumar, Abhishek, et al.
Published: (2026)

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
by: Liu, Max, et al.
Published: (2024)

Anomaly Detection in Networked Bandits
by: Cheng, Xiaotong, et al.
Published: (2025)

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
by: Xu, Zhipei, et al.
Published: (2024)

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
by: Carvalho, Tales H., et al.
Published: (2024)

ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge
by: Takenaka, Patrick, et al.
Published: (2024)

Guiding Video Prediction with Explicit Procedural Knowledge
by: Takenaka, Patrick, et al.
Published: (2024)

Digital Image Forgery Detection Using Transfer Learning
by: Buyuk, Fatma Betul, et al.
Published: (2026)

DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning Tasks
by: Song, Jiayi, et al.
Published: (2025)

Physics-Informed Large Language Models for HVAC Anomaly Detection with Autonomous Rule Generation
by: Lin, Subin, et al.
Published: (2025)

CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
by: Barkley, Jesse, et al.
Published: (2026)

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
by: Yang, Yang, et al.
Published: (2025)

Signature Forgery Detection: Improving Cross-Dataset Generalization
by: Parracho, Matheus Ramos
Published: (2025)

Learned-Rule-Augmented Large Language Model Evaluators
by: Meng, Jie, et al.
Published: (2025)

Rule Based Rewards for Language Model Safety
by: Mu, Tong, et al.
Published: (2024)

Diffusion Facial Forgery Detection
by: Cheng, Harry, et al.
Published: (2024)

FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model
by: Liu, Zhou, et al.
Published: (2026)

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation
by: Jiang, Yongqing, et al.
Published: (2026)

Every Language Model Has a Forgery-Resistant Signature
by: Finlayson, Matthew, et al.
Published: (2025)

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
by: Zhang, Fanrui, et al.
Published: (2024)

Large Language Models can Learn Rules
by: Zhu, Zhaocheng, et al.
Published: (2023)

Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
by: Zhang, Daichi, et al.
Published: (2025)

A Large-scale Universal Evaluation Benchmark For Face Forgery Detection
by: Bei, Yijun, et al.
Published: (2024)

Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
by: Diederich, Joachim
Published: (2025)

Using Large Language Models for the Interpretation of Building Regulations
by: Fuchs, Stefan, et al.
Published: (2024)

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
by: Luo, Linhao, et al.
Published: (2023)

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection
by: Zhang, Fanrui, et al.
Published: (2025)