📰 Reads

Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework

ClipTBP: Clip-Pair based Temporal Boundary Prediction with Boundary-Aware Learning for Moment Retrieval

ZAYAN: Disentangled Contrastive Transformer for Tabular Remote Sensing Data

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

HAVEN: Hybrid Automated Verification ENgine for UVM Testbench Synthesis with LLMs

ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning

When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry

One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments

Why Self-Supervised Encoders Want to Be Normal

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

Instruction-Guided Poetry Generation in Arabic and Its Dialects

RuC: HDL-Agnostic Rule Completion Benchmark Generation

Test Before You Deploy: Governing Updates in the LLM Supply Chain

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework