In this paper, we explore the problem of automatic statute prediction where for a given case description, a subset of relevant statutes are to be predicted. Her...
Large language models have demonstrated extraordinary performance in many AI tasks but are expensive to use, even after training, due to their requirement of hi...
Large language models (LLMs) have emerged as a powerful foundation for intelligent reasoning and decision-making, demonstrating substantial impact across a wide...
We introduce conserved active information I^oplus, a symmetric extension of active information that quantifies net information gain/loss across the entire searc...
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...
Log parsing converts log messages into structured event templates, allowing for automated log analysis and reducing manual inspection effort. To select the most...
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...
A Software Bill of Materials (SBOM) provides transparency by documenting software component metadata and dependencies. However, SBOM adoption depends on tool ec...
Performance optimization is a critical yet challenging aspect of software development, often requiring a deep understanding of system behavior, algorithmic trad...
Recent advancements in array-camera videography enable real-time capturing of ultra-high-definition (Ultra-HD) videos, providing rich visual information in a la...
Emerging real-time applications have driven the transition to multicore embedded systems, where tasks must share resources due to functional demands and limited...
Retrieval-Augmented Code Generation (RACG) is increasingly adopted to enhance Large Language Models for software development, yet its security implications rema...
