Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis

IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning

arXiv:2512.15635v1 Announce Type: cross Abstract: We propose textbfIC-Effect, an instruction-guided, DiT-based framework for few-shot video VFX editing that synthesizes complex effects (eg flames, particles and

Intersectional Fairness in Vision-Language Models for Medical Image Disease Classification

arXiv:2512.15249v1 Announce Type: cross Abstract: Medical artificial intelligence (AI) systems, particularly multimodal vision-language models (VLM), often exhibit intersectional biases where models are systematically less confident

Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers

arXiv:2512.10422v3 Announce Type: replace-cross Abstract: Since large language models (LLMs) have a tendency to generate factually inaccurate output, retrieval-augmented generation (RAG) has gained significant attention

Leveraging Foundational Models and Simple Fusion for Multi-modal Physiological Signal Analysis

arXiv:2512.15250v1 Announce Type: cross Abstract: Physiological signals such as electrocardiograms (ECG) and electroencephalograms (EEG) provide complementary insights into human health and cognition, yet multi-modal integration

AI Autonomy Coefficient ($alpha$): Defining Boundaries for Responsible AI Systems

arXiv:2512.11295v2 Announce Type: replace-cross Abstract: The integrity of many contemporary AI systems is compromised by the misuse of Human-in-the-Loop (HITL) models to obscure systems that