AI News

PANOPTICON: A PII-Based Assemblage of Naturalistic Output Tokens for Investigating Privacy Leakage Within LLM Context Window (arxiv.org)

A didactical-driven teacher assistant for a dimensional modeling course (arxiv.org)

Real2Sim2Real for Vision-Language-Action Manipulation: An AMD ROCm-Based Pipeline (arxiv.org)

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines (arxiv.org)

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities (arxiv.org)

MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation (arxiv.org)

Robust Inference Methods for Latent Group Panel Models under Possible Group Non-Separation (arxiv.org)

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference (arxiv.org)

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces (arxiv.org)

Plato-Bio: verification-first biological novelty screening with temporal rediscovery and structural benchmarks (arxiv.org)

Between Suppression and Collapse: Evaluating Narrative Unlearning with LENS (arxiv.org)

FILLER: Feature Imputation via Latent Location Exploration and Retrieval (arxiv.org)

STAIF: A Stage-wise Optimization for Complex Instruction Following (arxiv.org)

Catalyst Diffusion Transformer: Generative Inverse Design of Heterogeneous Catalysts (arxiv.org)

Robust Conformalized Selection with Noisy Responses (arxiv.org)

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards (arxiv.org)

Variable Importance Identification Through Lazy Training for Binary Classification (arxiv.org)

Debiased Machine Learning: Identification, Estimation, and Shape Constraints (arxiv.org)

Amortized Bayesian Causal Discovery of Extended Factor Graphs (arxiv.org)

Visible to the Court: How AI Is (and Isn't) Litigated in U.S. Federal Court Opinions (arxiv.org)

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration (arxiv.org)

Context-Adaptive Inference: A Unified Statistical and Foundation-Model View (arxiv.org)

Multi-primitive in-memory computing for Monte Carlo tree search (arxiv.org)

Photonic reservoir computing with complex networks (arxiv.org)

Learning When to Reason for Text-to-SQL via SFT and DPO (arxiv.org)

False Prophets: On the Security of World Models in Agentic Systems (arxiv.org)

The Half-Lives of Generative-AI Evidence: A 40-Record Audit, a Claim-Currency Framework, and a Reflexive Case of Frontier-Model-Assisted Research (arxiv.org)

MemChain: Learning Interpretable Memory Traces for Memory-Augmented LLM Agents (arxiv.org)

Beyond ICA: Identifiability by Symmetry Breaking (arxiv.org)

A Simple, Optimal and Efficient Algorithm for Online Exp-Concave Optimization (arxiv.org)

Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models (arxiv.org)

Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting (arxiv.org)

Learning Asymptotics with Convergence-Rate Guarantees using Linear Least Squares (arxiv.org)

FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos (arxiv.org)

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation (arxiv.org)

MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models (arxiv.org)

Risk Governance for Generative AI Mental Health Support: A Multi-Turn Safety Architecture (arxiv.org)

Frequency-Based Reservoir computing (arxiv.org)

SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding (arxiv.org)

Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data (arxiv.org)

On Non-Stationary Dynamic Pricing: Adaptivity and Optimality (arxiv.org)

Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD (arxiv.org)

Learning switched non-linear dynamical systems from a single trajectory (arxiv.org)

CausalGate: Causal Importance Distillation for Transformer Module Pruning (arxiv.org)

Context-Aware Concept Distillation for Trustworthy Flood Prediction (arxiv.org)

Monitoring Post-Disaster Urban Recovery Using High-Resolution SAR Time Series and Unsupervised Learning: Evidence from the 2023 T\"urkiye-Syria Earthquake (arxiv.org)

ObsDriveBench: Benchmarking Multimodal Understanding under Adverse Weather with Observability Awareness (arxiv.org)

Multivariate Time Series Forecasting with Adaptive Non-Local Observables (arxiv.org)

Distribution-Specific Curvature Control with Finite-Sample Guarantees for Open-Weight Safety (arxiv.org)

Nearly Tight Bounds for Cross-Learning Contextual Bandits with Graphical Feedback (arxiv.org)