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  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
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  • 3 weeks ago · software

    [Paper] Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development

    Agentic AI and Multi-Agent Systems are poised to dominate industry and society imminently. Powered by goal-driven autonomy, they represent a powerful form of ge...

    #research #paper #software
  • 3 weeks ago · software

    [Paper] A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation

    Log parsing converts log messages into structured event templates, allowing for automated log analysis and reducing manual inspection effort. To select the most...

    #research #paper #software
  • 3 weeks ago · ai

    [Paper] Smart IoT-Based Leak Forecasting and Detection for Energy-Efficient Liquid Cooling in AI Data Centers

    AI data centers which are GPU centric, have adopted liquid cooling to handle extreme heat loads, but coolant leaks result in substantial energy loss through unp...

    #research #paper #ai #machine-learning
  • 3 weeks ago · software

    [Paper] The State of the SBOM Tool Ecosystems: A Comparative Analysis of SPDX and CycloneDX

    A Software Bill of Materials (SBOM) provides transparency by documenting software component metadata and dependencies. However, SBOM adoption depends on tool ec...

    #research #paper #software
  • 3 weeks ago · ai

    [Paper] How Do Agents Perform Code Optimization? An Empirical Study

    Performance optimization is a critical yet challenging aspect of software development, often requiring a deep understanding of system behavior, algorithmic trad...

    #research #paper #ai #machine-learning
  • 3 weeks ago · devops

    [Paper] Hyperion: Low-Latency Ultra-HD Video Analytics via Collaborative Vision Transformer Inference

    Recent advancements in array-camera videography enable real-time capturing of ultra-high-definition (Ultra-HD) videos, providing rich visual information in a la...

    #research #paper #devops
  • 3 weeks ago · devops

    [Paper] LEFT-RS: A Lock-Free Fault-Tolerant Resource Sharing Protocol for Multicore Real-Time Systems

    Emerging real-time applications have driven the transition to multicore embedded systems, where tasks must share resources due to functional demands and limited...

    #research #paper #devops
  • 3 weeks ago · software

    [Paper] Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation

    Retrieval-Augmented Code Generation (RACG) is increasingly adopted to enhance Large Language Models for software development, yet its security implications rema...

    #research #paper #software
  • 3 weeks ago · software

    [Paper] Co-Evolution of Types and Dependencies: Towards Repository-Level Type Inference for Python Code

    Python's dynamic typing mechanism, while promoting flexibility, is a significant source of runtime type errors that plague large-scale software, which inspires ...

    #research #paper #software
  • 3 weeks ago · software

    [Paper] XTrace: A Non-Invasive Dynamic Tracing Framework for Android Applications in Production

    As the complexity of mobile applications grows exponentially and the fragmentation of user device environments intensifies, ensuring online application stabilit...

    #research #paper #software
  • 3 weeks ago · ai

    [Paper] HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming

    High-resolution video generation, while crucial for digital media and film, is computationally bottlenecked by the quadratic complexity of diffusion models, mak...

    #research #paper #ai #computer-vision
  • 3 weeks ago · ai

    [Paper] Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models

    We expose a significant popularity bias in state-of-the-art vision-language models (VLMs), which achieve up to 34% higher accuracy on famous buildings compared ...

    #research #paper #ai #computer-vision

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