AI News

MioFFAn: an Annotation Software for Formula Formalization with LLM Automation Capabilities (arxiv.org)

Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation (arxiv.org)

Recycling computational processes of dynamic programming for combinatorial optimization problems: a reservoir computing approach (arxiv.org)

Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning (arxiv.org)

Evaluating Fuzz Testing for Reinforcement Learning Agents (arxiv.org)

Weighted Low-Rank Matrix Approximation: Acceleration and Applications (arxiv.org)

Source-Aware Reranking for Retrieval-Augmented Generation: A Reliability Prior Approach (arxiv.org)

Offline-to-Online Creative Optimization with Generative Models and Adaptive Testing (arxiv.org)

Concept-based Visual Counterfactual Explanations with Diffusion Models (arxiv.org)

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models (arxiv.org)

Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs (arxiv.org)

BoneAgeTW2: Automated Skeletal Maturation Assessment via the Tanner-Whitehouse 2 Method, Deep Learning, and Clinical Report Generation with Distribution Curves (arxiv.org)

Schema-Aware Localisation (SAL): Live Schema Grounding and Hallucination Validation for Oracle NL2SQL (arxiv.org)

ARdena: Scenario-driven control of real-time LLM agents (arxiv.org)

MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models (arxiv.org)

When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction (arxiv.org)

CausAdv: A Causal-based Framework for Detecting Adversarial Examples (arxiv.org)

proxymate: Diagnosis and Adjustment of Proxy Estimates for Reliable Inference (arxiv.org)

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

A Resolution of the SS--RS--GD Inequalities (arxiv.org)

Multi-Agent Privacy Game in Federated Learning: A Unified Mean-Field View (arxiv.org)

Mini-batch Noise Lowers Sharpness via Dominant-Subspace Fluctuations (arxiv.org)

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects (arxiv.org)

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids (arxiv.org)

Self-Boosting Vision-Language Models with Noisy Student On-Policy Self-Distillation (arxiv.org)

Discrepancy-Rounded Fair Bandits with Static and Time-Varying Exposure Floors (arxiv.org)

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

Delegation Intelligence in Deep Search: A Controllable Framework for Disentangled Capability Diagnosis (arxiv.org)

Verbalized Particle Posterior: Bayesian Inference over Natural Language Hypotheses (arxiv.org)

StageGuard: Physiologically Constrained Sleep Staging (arxiv.org)

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

Label-free Industrial Fault Detection via Adversarial Inverse Reinforcement Learning: A System for Run-to-Failure Prognostics (arxiv.org)

Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents (arxiv.org)

Verification-Notebook Learning for Source-Aware Multimodal Misinformation Detection (arxiv.org)

Bit-Accurate FPGA Evaluation of Learned Feature Gating in a Fixed-Point Fourier-Feature Automatic Modulation Classifier (arxiv.org)

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV (arxiv.org)

Focus Is All You Need: Adaptive Goal-aware Attention Orchestration for Multi-Agent Graph Systems (arxiv.org)

SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems (arxiv.org)

PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM (arxiv.org)

Explainable Reinforcement Learning via Physics-Aware Policy Distillation (arxiv.org)

Reference Feature Atlases for Mechanistic Auditing of Language Models (arxiv.org)

Codifying the Judge: Scalable Evaluation via Program Distillation (arxiv.org)

The Entropic Bound for Transformers: Why Static Rank Fails and Attention-Native Rank Recovers (arxiv.org)

Sampling Decisions: Exact Path-Space Correction, Prior Cancellation and Local-Boltzmann Guidance (arxiv.org)

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents (arxiv.org)

Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization (arxiv.org)

Robust Conformalized Selection with Noisy Responses (arxiv.org)

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

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

Adaptive Multi-Scale Forecasting and Gate-Localized Conformal Prediction for Multivariate Nonstationary Time Series (arxiv.org)