AI News

Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context Learning (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)

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

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

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

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

NOPE-HYPE: A Structured Simulation Workflow for Robust Speech-to-Text Across Diverse Acoustic Environments (arxiv.org)

Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training (arxiv.org)

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

TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards (arxiv.org)

Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System (arxiv.org)

Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs (arxiv.org)

Diversity of EML-type operators (arxiv.org)

CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting (arxiv.org)

A Fragility Spectrum for Recursive Language-Model Training (arxiv.org)

The Oligarch Barely Steers Model Collapse in Multi-Model Ecosystems (arxiv.org)

A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning (arxiv.org)

Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation (arxiv.org)

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

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

TailProp: content-adaptive light- and heavy-tailed propagation for vision (arxiv.org)

Coherent Floquet quantum reservoirs for molecular property prediction (arxiv.org)

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

SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control (arxiv.org)

MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes (arxiv.org)

What Makes Adversarial Examples Transfer Across Deepfake Detectors? (arxiv.org)

Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems (arxiv.org)

Improving Cross-Lingual Token Representations by Adding a Pinch of SALT (arxiv.org)

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

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

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

Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarchy (arxiv.org)

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

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis (arxiv.org)

SG-Blend: Learning an Interpolation Between Improved Swish and GELU for Robust Neural Representations (arxiv.org)

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

Toward a First-Principles Update Geometry for the Language-Model Head (arxiv.org)

Can AI Agents Detect and Repair Artifact Drift in Network Experiments? (arxiv.org)

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

Detectable Only Where It Is Confounded: What Verified Duplication Counts Say About Membership Evidence in Language Models (arxiv.org)

Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI (arxiv.org)

Studying Without a Syllabus: Task-Agnostic Environment Preprocessing (arxiv.org)

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

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

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

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

When do cheap embeddings beat protein language models? A theoretically-grounded hashing sketch for biological sequence classification (arxiv.org)

Active noise cancellation on open-ear smart glasses (arxiv.org)

Bayesian quantum sensing using graybox machine learning (arxiv.org)