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  • Feeds: 1
  • Entries: 20

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  • Feed: https://rss.arxiv.org/rss/cs
    • Entry: Spectral origin of the topological gap exponent d + {\eta}: mechanism, kernel, decomposition, and scope
    • Entry: LBFAST: A Lightweight Moment-Represented Lattice Boltzmann Solver for Multi-GPU Architectures
    • Entry: SMCC-Empowered Digital Twins for Sensorless Monitoring in Large-Scale AI-Driven IoT Systems
    • Entry: Physics-informed neural networks by Gradient-Guided Gaussian Adaptive Sampling (3GAS-PINNs)
    • Entry: World-Time Compute with Verified Code World Models
    • Entry: HELIOS: Guardrailed LLM-Driven Evolution of Autonomous Resource Orchestration Policies for Multi-Cloud Distributed Systems
    • Entry: TFR-GNN: Topology- and Fault-Aware Graph Neural Scheduling for Heterogeneous Distributed Computing Systems
    • Entry: X-CoSD: Communication-Efficient Cross-Vocabulary Collaborative Speculative Decoding
    • Entry: OASIS: A Rubric-Based Multimodal Assessment Platform Using Large Language Models
    • Entry: Evaluating Enterprise Analytics Agents: An End-to-End, Trace-Backed Methodology
    • Entry: Evidence-Order Calibration for Selective Visual Reasoning under Progressive Loss of Question-Critical Evidence
    • Entry: Integrating Unimodal and Vision-Language Representations in Latent Space for Multi-Label Chest X-Ray Classification
    • Entry: M2LG-DG: A Multi-modal Local-Global Domain Generalization Framework for Cross-site Major Depressive Disorder Classification
    • Entry: AgenticGen: Reward-Guided Agentic Video Generation for Advertising
    • Entry: Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfaces
    • Entry: CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting
    • Entry: OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows
    • Entry: MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads
    • Entry: Shift-Accumulate Attention: Multiplier-Free Query--Key Products for Transformer Decoding
    • Entry: Identifying Habit, Physics, and Nuisance in Robot World Models