AI News

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LLaTSA: Large Language Model-Aligned General-Purpose Transient Stability Analysis (arxiv.org)
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A Hybrid Dependency-Aware Framework for Task Decomposition and Dynamic Agent Generation in Oracle-to-PostgreSQL Migration (arxiv.org)
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Surrogate-Assisted Genetic Programming with Phenotypic Characterisation in Dynamic Multi-Mode Project Scheduling (arxiv.org)
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A Generative AI Integrated Multimodal Framework for Low-Latency Multi-Camera Person Re-Identification (arxiv.org)
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Has Scientific Talent Shifted from Depth to Breadth?Evidence across Papers, Knowledge Inputs, Careers, and Teams (arxiv.org)
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Lightweight Generalized DeepFake Face Detection with WAVIE: Wavelet Augmented Vision Intermediate Embeddings (arxiv.org)
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A latent dimension of Condorcet's jury theorem for multiple AI advisers (arxiv.org)
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From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns (arxiv.org)
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Bridging the Modality Gap in Long-Form Clinical Audio: A Comparative Study of Lightweight and Heavyweight End-to-End SOAP Generation (arxiv.org)
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Skill Composition for Legged Robot Reinforcement Learning (arxiv.org)
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Proving olympiad geometry theorems on a superconducting quantum processor (arxiv.org)
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Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection (arxiv.org)
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Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window (arxiv.org)
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SENTINEL: A Multi-Pathway Architecture for Detecting Living-Off-the-Land APT Attacks on Windows Command Lines (arxiv.org)
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Open-UniMo: Towards Unified Motion-Language Understanding and Generation in the Open World (arxiv.org)
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Investigating the Impacts of Generative AI on Information Seeking (arxiv.org)
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CompCQR: Compositional Query Generation for Training-Free Conversational Search (arxiv.org)
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Compositional SVG Generation via VLM-Driven Hierarchical Semantic Parsing (arxiv.org)
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MANE: A Multi-Path Adaptive Network for Edge Onloading of Deep Neural Networks (arxiv.org)
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A Conservative OCR-Enabled Workflow for R214 Sodium Screening of South African Packaged Foods (arxiv.org)
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Turkish MMLU Pro: Traceable Option Augmentation and Its Validity Limits in Turkish Multiple-Choice Evaluation (arxiv.org)
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Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear (arxiv.org)
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How Lossless Is Lossless Speculative Decoding? The Role of Numerical Precision in Orthrus (arxiv.org)
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Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku (arxiv.org)
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Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting (arxiv.org)
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Bi-Level Routing and Sparse Spatial Attention based Multi-View BEV 3D Object Detection for Autonomous Driving (arxiv.org)
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Eigenvalue-Decomposition Cost Denoising as an Alternative to Predict-then-Optimize for Shortest-Path Problems (arxiv.org)
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woma: a real-time foundation model and its fine-tuned models for endoscopy (arxiv.org)
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When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control (arxiv.org)
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SparseTalk - Sparsifying 3D Gaussian Language Fields for Efficient 3D Visual Question Answering (arxiv.org)
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Low-Dimensional Embeddings for Gaussian Kernels on Manifolds (arxiv.org)
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MAST: Label-Efficient, Robust, and Generalizable Sound Detection for Biodiversity Monitoring via Masked Audio Pretraining and Self-Training (arxiv.org)
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Online local learning for generative thermodynamic computing (arxiv.org)
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Temperature Fragility and the Conditional Benefits of Truncation Sampling (arxiv.org)
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Strong and Compact Policies for Submodular Markov Decision Processes via LP-Based Submodular Orienteering (arxiv.org)
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Realistic Continual Learning Approach using Pre-trained Models (arxiv.org)
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K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations (arxiv.org)
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Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start (arxiv.org)
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Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning (arxiv.org)
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SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection (arxiv.org)
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Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification (arxiv.org)
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Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs (arxiv.org)
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Multi-Objective Hyperparameter Search via Damped Gauss--Newton Optimization (arxiv.org)
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Introspective Uncertainty Estimation for LLM-Based Code Generation (arxiv.org)
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Diffusion-Based Multiple-Shooting Indirect Optimal Control for Fuel-Optimal Spacecraft Trajectory Generation (arxiv.org)
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Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation (arxiv.org)
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Real-World Deployment and Performance Characterisation of Fog-Based Deep Learning for Cold-Chain Temperature Prediction over LoRaWAN (arxiv.org)
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Neuron Activation-based Computation of Logical Explanations for Deep Neural Networks (arxiv.org)
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TRACTA: Benchmarking Temporal Reasoning over Semantic Trajectories (arxiv.org)
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Hidden APIs in Language Models: Discovering Reusable Causal Interfaces from Forked Futures (arxiv.org)