AI News

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents (arxiv.org)

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune (arxiv.org)

Does Normalization Choice Matter for Causal Large Time-Series Models? (arxiv.org)

Aesthetic Perspectives in Information Systems Research: A Hermeneutic Analysis (arxiv.org)

Intrinsic Footpoint-invariant Riemannian Cross-covariance (arxiv.org)

Nonlinear Estimator: Dual Bayesian Affine Estimators for Parameter Learning (arxiv.org)

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs (arxiv.org)

Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection (arxiv.org)

Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models (arxiv.org)

Range Penalization: Theoretical Insights with Applications in Federated Learning (arxiv.org)

Human-AI Teaming Through the Lens of Calibration (arxiv.org)

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin (arxiv.org)

$k$-Nearest Neighbors in Gromov--Wasserstein Space (arxiv.org)

Decision-Calibrated Conformal Uncertainty for Pacing Decisions in Streaming Advertising (arxiv.org)

Generalized Conformal Predictive Systems Under Distributional Shifts (arxiv.org)

Blind denoising diffusion models and the blessings of dimensionality (arxiv.org)

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access (arxiv.org)

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective (arxiv.org)

Mixtures of Neural Operators Reduce Active Complexity in Operator Learning (arxiv.org)

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss (arxiv.org)

Time series forecasting from partial observations via Non-negative Matrix Factorization (arxiv.org)

MAD: Manifold Attracted Diffusion (arxiv.org)

Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (arxiv.org)

Latent Guided Sampling for Combinatorial Optimization (arxiv.org)

An $(\epsilon,\delta)$-accurate level set estimation with a stopping criterion (arxiv.org)

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems (arxiv.org)

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques (arxiv.org)

Conformal Prediction for Dyadic Regression Under Complex Missingness (arxiv.org)

Data-Driven Dynamic Assortment in Online Platforms: Learning about Two Sides (arxiv.org)

Flexible Kernels for Protein Property Prediction (arxiv.org)

Express Language Modeling (arxiv.org)

Conservation Laws from Data Symmetry in Neural Networks (arxiv.org)

SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors (arxiv.org)

Deterministic Denominator Design for Localized Tamed Stochastic-Gradient Langevin Dynamics (arxiv.org)

Limitations of Learning Tanh Neural Networks with Finite Precision (arxiv.org)

Robust Active Learning for Few-Shot Example Selection in Text-to-SQL (arxiv.org)

Mechanistic Analysis of Alignment Algorithms in Language Models (arxiv.org)

AuRA: Internalizing Audio Understanding into LLMs as LoRA (arxiv.org)

Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models (arxiv.org)

Data-Driven Runway and Taxiway Exits Prediction of Landing Aircraft: A Case Study at Hartsfield-Jackson Atlanta International Airport (arxiv.org)

Learning Doubly Sparse Explicitly Conditioned Transforms (arxiv.org)

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning (arxiv.org)

Advancing the State-of-the-Art in Empirical Privacy Auditing (arxiv.org)

Can we trust our models? Epistemic calibration in second-order classification (arxiv.org)

Inverse Probability Weighting and Age-of-Information Aggregation for Decentralized Federated Learning under Partial Reception (arxiv.org)

N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization (arxiv.org)

Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals (arxiv.org)

Convergence Rates for Neural-Network Estimation with Current-Status Data (arxiv.org)

A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA Evaluation (arxiv.org)

Hierarchical Policies from Verbal and Egocentric Human Signals for Natural Human-Robot Interaction (arxiv.org)