:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qu, Bo, Wang, Zhurong, Yagi, Daisuke, Xu, Zhen, Zhao, Yang, Shan, Yinan, Zahradnik, Frank
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.18719
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection
by: Qu, Bo, et al.
Published: (2024)

Advanced Fraud Detection System Real Time Fraud Detection Of Online Payment Frauds
by: Deepak KV, Bhuvan MM, Beerappa
Published: (2026)

The Fundamental Limits of Fraud Detection in Card Payment Networks
by: Dhama, Gaurav
Published: (2026)

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning
by: Zhao, Gang, et al.
Published: (2024)

MindFlow+: A Self-Evolving Agent for E-Commerce Customer Service
by: Gong, Ming, et al.
Published: (2025)

Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2026)

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
by: Ke, Zong, et al.
Published: (2025)

Fraud Type Decomposition and the Observation-Mechanism Taxonomy:Class-Specific Detection Limits in Payment Networks
by: Dhama, Gaurav
Published: (2026)

Investigating LLM Applications in E-Commerce
by: Palen-Michel, Chester, et al.
Published: (2024)

Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
by: Huang, Tairan, et al.
Published: (2025)

An Extended Payment Model for M-Commerce with Fair Non-Repudiation Protocols
by: Tran Khanh DANG
Published: (2009)

A402: Binding Cryptocurrency Payments to Service Execution for Agentic Commerce
by: Li, Yue, et al.
Published: (2026)

Von drinnen nach draußen – und dann?
by: Rieker, Peter, et al.
Published: (2024)

MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search
by: Cheng, Peng, et al.
Published: (2024)

LLM-Assisted Authentication and Fraud Detection
by: Chan, Emunah S-S., et al.
Published: (2026)

Towards Cross-Task Suicide Risk Detection via Speech LLM
by: Li, Jialun, et al.
Published: (2025)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
by: Jin, Chenxiang, et al.
Published: (2024)

Web Fraud Attacks Against LLM-Driven Multi-Agent Systems
by: Kong, Dezhang, et al.
Published: (2025)

Proactive Fraud Defense: Machine Learning's Evolving Role in Protecting Against Online Fraud
by: Chy, Md Kamrul Hasan
Published: (2024)

Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
by: Cheng, Yinan, et al.
Published: (2024)

Starfish: Rebalancing Multi-Party Off-Chain Payment Channels
by: Xu, Minghui, et al.
Published: (2025)

Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
by: Ling Team, et al.
Published: (2025)

Fraud Prediction and Prevention in Mobile Money Payment Systems (MMPS): A Systematic Literature Review of Text‐Based Detection Methods
by: Umar Sayibu, et al.
Published: (2025)

Biogenesis of TNF ‐α‐insights into proteostasis and inflammation
by: Bailasan Haidar, et al.
Published: (2026)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
by: Zeng, Jingying, et al.
Published: (2025)

Enhancing Trust and Safety in Digital Payments: An LLM-Powered Approach
by: Dahiphale, Devendra, et al.
Published: (2024)

On Safety Risks in Experience-Driven Self-Evolving Agents
by: Zhao, Weixiang, et al.
Published: (2026)

Dual-Phase LLM Reasoning: Self-Evolved Mathematical Frameworks
by: Liu, ShaoZhen, et al.
Published: (2026)

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
by: Hu, Tianyu, et al.
Published: (2025)

Offline Reinforcement Learning for LLM Multi-Step Reasoning
by: Wang, Huaijie, et al.
Published: (2024)

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
by: Qi, Zehan, et al.
Published: (2024)

Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
by: Cao, Runlong, et al.
Published: (2026)

MetaGen: Self-Evolving Roles and Topologies for Multi-Agent LLM Reasoning
by: Wang, Yimeng, et al.
Published: (2026)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
by: Chong, Yee Hin, et al.
Published: (2026)

The Role of the Risk Committee in Detecting Financial Statement Fraud in Nigeria
by: Yahaya, Onipe Adabenege
Published: (2026)

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections
by: Yang, Xianglin, et al.
Published: (2026)

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning
by: Wu, Wenjie, et al.
Published: (2025)

Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
by: Zhen, Shuai, et al.
Published: (2026)

Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
by: Lin, Cooper, et al.
Published: (2026)

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion
by: Yang, Haowei, et al.
Published: (2025)