AI News

Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials (arxiv.org)

From "Weak" Signals to Strong Models: Preference Delta Aggregation with LoRA Merging (arxiv.org)

Advanced Mathematics Learning Behavior Prediction and Academic Early Warning Model Based on Multimodal Data Analysis (arxiv.org)

The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary (arxiv.org)

VESTA: Visual Exploration with Statistical Tool Agents (arxiv.org)

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training (arxiv.org)

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models (arxiv.org)

A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity (arxiv.org)

Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks (arxiv.org)

Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization (arxiv.org)

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications (arxiv.org)

DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection (arxiv.org)

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight (arxiv.org)

SDR: Set-Distance Rewards for Radiology Report Generation (arxiv.org)

Doing What They Say, Not What They Reason: Locating the Faithfulness Gap in LLM Agents (arxiv.org)

TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding (arxiv.org)

EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction (arxiv.org)

Threshold-Based Exclusive Batching for LLM Inference (arxiv.org)

On Effectiveness and Efficiency of Agentic Tool-calling and RL Training (arxiv.org)

Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey (arxiv.org)

Geometric Erasure by Contrastive Velocity Matching in Rectified Flows (arxiv.org)

Adaptive Order Policies for Masked Diffusion (arxiv.org)

Adaptive data selection improves wearable prediction under low baseline performance (arxiv.org)

BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding (arxiv.org)

RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting (arxiv.org)

Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying (arxiv.org)

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection (arxiv.org)

Understanding the Effects of Distractors on Reasoning Vision-Language Models (arxiv.org)

Acting with AI: An Interaction-Based Framework for Agentic Tort Liability (arxiv.org)

KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning (arxiv.org)

Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design (arxiv.org)

Interventional Processes for Causal Uncertainty Quantification (arxiv.org)

Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent (arxiv.org)

Constructive interpolation and generalization rates for neural ODEs: a control perspective (arxiv.org)

Continuous Data Assimilation with Learned Surrogate Dynamics (arxiv.org)

Easy, robust approximate message passing for planted spike models (arxiv.org)

Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression (arxiv.org)

In-Expectation Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise (arxiv.org)

SkyShield: Occupancy as a Safety Interface for Low-Altitude UAV Autonomy (arxiv.org)

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models (arxiv.org)

Looped Transformers with Layer Normalization Provably Learn the Power Method (arxiv.org)

A Systematic Benchmark of Intraoperative Ultrasound-to-MR Synthesis for Brain Tumour Surgery (arxiv.org)

Rate-optimal neural boundary detection from unlabeled noisy images (arxiv.org)

Multi-Agent Conformal Prediction with Personalized Statistical Validity (arxiv.org)

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment (arxiv.org)

Causal Density Functions (arxiv.org)

Robust inference for risk heterogeneity under group imbalance (arxiv.org)

Revisiting Neural Processes via Fourier Transform and Volterra Series (arxiv.org)

Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective (arxiv.org)

Statistical Inference on Gradient Flows (arxiv.org)