AI News

FogTTA: Online Test-Time Adaptation for Robust Transformer-based Object Detection in Foggy Weather (arxiv.org)

An interpretable deep learning method for early hepatocellular carcinoma diagnosis on multiphase CT (arxiv.org)

Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation (arxiv.org)

An Agent Architecture with Tools and Memory for Selective Correction of Wrist PPG Heart Rate Estimates (arxiv.org)

One Pretrained Decision Model Is Enough for Training-Free Generalist Graph Anomaly Detection (arxiv.org)

Adaptive Deadline- and Energy-Aware Caching Algorithms in Dynamic Multi-UAV Edge Networks (arxiv.org)

Primal-Dual Representation Learning for Low-Rank Constrained MDPs (arxiv.org)

Visualizing and Interpreting Temporal Care Team Dynamics for Cancer Survival Risk Analysis (arxiv.org)

CulturalRiddles: A Multicultural Benchmark of Riddles (arxiv.org)

Overview of CHIP 2026 Shared Task 1: Patient-Specific Phenotype Concept Recognition in Full-Text Biomedical Literature (arxiv.org)

From AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Campus Placements Without AI Guidelines (arxiv.org)

GRAFT: Restoring the Missing Sampling Interface in Continuous Diffusion Language Models (arxiv.org)

An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul (arxiv.org)

Solvable models of learning to pursue a moving target (arxiv.org)

Bio-Inspired Auditory Processing: Coupling Parallel Resonate-and-Fire Dynamics with Ternary Recurrent Networks for Speech Recognition (arxiv.org)

Wavenumber-Aware Deep Learning for Robust Analysis of Raman Spectra (arxiv.org)

Random Remasking Scales Masked Diffusion Inference (arxiv.org)

Optimal Multitask Representations Under a Rate Constraint: An Information Bottleneck Analysis (arxiv.org)

Rethinking SAE Evaluation: An Atomic Interpretable Unit Framework Reveals Hidden Polysemanticity and Redundancy (arxiv.org)

DiffLTM: Continuous Diffusions Large Tabular Models for Conditional Generation (arxiv.org)

Scaling Multilingual Pretraining of Pixel Language Models (arxiv.org)

UNIVERS: Learning UNIversal Voxel-wise Embedding via Randomized Synthesis for generalizable one-shot landmark localization (arxiv.org)

Agentic Music Post-Production (arxiv.org)

ReSeg: Retraining-free segmentation of abdominal organs via generalizable semantic representation learning (arxiv.org)

A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting (arxiv.org)

Federated Graph Retrieval-Augmented Generation (arxiv.org)

One Teacher, Many Views: Reducing Reference Sensitivity in On-Policy Self-Distillation (arxiv.org)

aggmetrics: Aggregating Classification Performance Measures for Machine Learning (arxiv.org)

Towards Faithful Data Selection: Statistical Limits and Scalable Algorithms (arxiv.org)

Memory-Augmented Online Test-Time Adaptation for EEG Motor Imagery via Perturbation Consistency and Confidence Calibration (arxiv.org)

Inherited, Not Invented: Tracing the Provenance of Wait in Reasoning Models (arxiv.org)

AcoustiPrint: Physics-Guided Neural Design of Manufacturable Acoustic Structures (arxiv.org)

Graph-Recurrent Learning of Emergent Collective Dynamics (arxiv.org)

Automated screening of privacy risks in medical AI (arxiv.org)

Benchmarking Model Compression Techniques Across Heterogeneous Edge Platforms: A Predictive Maintenance Use Case for Rotating Machinery (arxiv.org)

Stability Analysis of Signed Graphs under Structural Perturbations (arxiv.org)

HumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, and Short-Form Video (arxiv.org)

GANet: A Lightweight Group Attention Network for Plant Disease Identification on Embedded Systems (arxiv.org)

How Prompt Style Affects AI Accuracy and Speed in Competitive Programming (arxiv.org)

Prediction Is Not Calibration: Item Parameter Recovery and Representation Coupling in Knowledge Tracing (arxiv.org)

Short-to-Long: Detached Features for Long-Horizon Value Learning (arxiv.org)

Spectral Uncertainty Decomposition for Sparse Bayesian Learning (arxiv.org)

Bridging the Closed-World Gap: Interpretable Anomaly Detection via a Hybrid TSK-FCM Ensemble on the BETH Dataset (arxiv.org)

Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters (arxiv.org)

ReDence: A Hybrid Agentic and Decision-Model Framework for Rapid, Evidence-Grounded Detection of Modern Social Engineering Scams (arxiv.org)

Charts as Epistemic Actions for Experience-Driven Agentic Data Analysis (arxiv.org)

ORSMT: Unleashing the Potential of Satisfiability Modulo Theories for Semantic Verification and Repair in LLM-Based Optimization (arxiv.org)

Where Does Timbre Hide? Localizing Speaker Information in Speech Signals (arxiv.org)

AI-Based End-to-End Automotive Design and Software Development for SDVs (arxiv.org)

Why is AI-generated language so hard to understand? (arxiv.org)