AI News

PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue Serving (arxiv.org)

MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production (arxiv.org)

Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models (arxiv.org)

On the Societal Impact of Machine Learning (arxiv.org)

Configuration-Dependent Lower Bounds for Approximation by Shallow ReLU$^k$ Networks on the Sphere (arxiv.org)

Narrative Consolidation: Formulating a New Task for Unifying Multi-Perspective Accounts (arxiv.org)

PEARL: A Task-Aware Framework for Evaluating Differentially Private Synthetic Educational Data (arxiv.org)

Quantum State Preparation with the QNN-based SRBB Algorithm (arxiv.org)

No Screening is More Efficient with Multiple Objects (arxiv.org)

BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification (arxiv.org)

Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking (arxiv.org)

Multimodal Taxonomic Conditioning for Generative Plankton Imagery (arxiv.org)

A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway (arxiv.org)

ExpTest: Loss-Curve Hypothesis Testing for Autonomous Learning-Rate Selection in Deep Neural Networks (arxiv.org)

Quantifying Logical Consistency in Transformers via Query-Key Alignment (arxiv.org)

DNA: Differentially private Neural Augmentation for contact tracing (arxiv.org)

ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding (arxiv.org)

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation (arxiv.org)

Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models (arxiv.org)

VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents (arxiv.org)

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design (arxiv.org)

Active Adaptation, Not Static Defense: Temporal Dynamics of Preventative Steering in Adversarial Fine-Tuning (arxiv.org)

3D Point Splatting for mmWave Radar Novel View Synthesis (arxiv.org)

Domain-Specific Hallucination Detection in Large Language Models (arxiv.org)

Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models (arxiv.org)

Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning (arxiv.org)

HuRo: Robotizing Human Videos for Scalable VLA Pretraining (arxiv.org)

An Empirical Measurement of Jailbreaking Evaluators (arxiv.org)

Mapping Seven Decades of Philosophy in Colombia: Dynamic Topic Modelling of Ideas y Valores (arxiv.org)

Deep operator learning for efficient sampling from invariant measures of stochastic differential equations (arxiv.org)

E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets (arxiv.org)

A Two-Mirror Faceted Projection System for EUV Lithography (arxiv.org)

Predicting Train Delays in Finland Using Machine Learning and Weather Data (arxiv.org)

Why Sample What You Can Enumerate? Exact Policy Optimization for Genomic Tool Selection (arxiv.org)

What Should an Agent Forget? Separating What Is Stored from What Is Used (arxiv.org)

Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling (arxiv.org)

Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology (arxiv.org)

A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients (arxiv.org)

Adaptive Diffusion Freezing: Privacy-preserving Diffusion Models Against Membership Inference Attacks (arxiv.org)

On the Relation between Code Quality and Machine Learning Performance: A Large-scale Empirical Study (arxiv.org)

Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders (arxiv.org)

Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations (arxiv.org)

Generative Replay Mitigates Sample Starvation in Quantum Architecture Search (arxiv.org)

When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text (arxiv.org)

Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction (arxiv.org)

Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving (arxiv.org)

Learning Intrinsic Water-Quality Dynamics with Rainfall for Data-Driven Forecasting (arxiv.org)

Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove (arxiv.org)

CertDW: Towards Certified Dataset Ownership Verification via Conformal Calibration (arxiv.org)

Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2 (arxiv.org)