A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
arXiv:2512.23777v1 Announce Type: cross Abstract: This study investigates fraud detection in ride hailing platforms through Graph Neural Networks (GNNs),focusing on…
Hear: Hierarchically Enhanced Aesthetic Representations For Multidimensional Music Evaluation
arXiv:2511.18869v2 Announce Type: replace-cross Abstract: Evaluating song aesthetics is challenging due to the multidimensional nature of musical perception and the…
HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model Priors
arXiv:2512.24478v1 Announce Type: cross Abstract: Causal discovery from observational data remains fundamentally limited by identifiability constraints. Recent work has explored…
Science in 2026: what to expect this year
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Learning Evolving Latent Strategies for Multi-Agent Language Systems without Model Fine-Tuning
arXiv:2512.20629v2 Announce Type: replace-cross Abstract: This study proposes a multi-agent language framework that enables continual strategy evolution without fine-tuning the…
Heterogeneity in Multi-Agent Reinforcement Learning
arXiv:2512.22941v1 Announce Type: cross Abstract: Heterogeneity is a fundamental property in multi-agent reinforcement learning (MARL), which is closely related not…
APO: Alpha-Divergence Preference Optimization
arXiv:2512.22953v1 Announce Type: cross Abstract: Two divergence regimes dominate modern alignment practice. Supervised fine-tuning and many distillation-style objectives implicitly minimize…
Deep Generative Models for Synthetic Financial Data: Applications to Portfolio and Risk Modeling
arXiv:2512.21798v2 Announce Type: replace-cross Abstract: Synthetic financial data provides a practical solution to the privacy, accessibility, and reproducibility challenges that…
Bidirectional RAG: Safe Self-Improving Retrieval-Augmented Generation Through Multi-Stage Validation
arXiv:2512.22199v1 Announce Type: new Abstract: Retrieval-Augmented Generation RAG systems enhance large language models by grounding responses in external knowledge bases,…
MMCTOP: A Multimodal Textualization and Mixture-of-Experts Framework for Clinical Trial Outcome Prediction
arXiv:2512.21897v1 Announce Type: cross Abstract: Addressing the challenge of multimodal data fusion in high-dimensional biomedical informatics, we propose MMCTOP, a…