The increasing complexity of modern software systems has made understanding their behavior increasingly challenging, driving the need for explainability to impr...
The rapid adoption of complex AI systems has outpaced the development of tools to ensure their transparency, security, and regulatory compliance. In this paper,...
Search-based testing is critical for evaluating the safety and reliability of autonomous driving systems (ADSs). However, existing approaches are often built on...
Several interconnection networks are based on the complete graph topology. Networks with a moderate size can be based on a single complete graph. However, large...
The advent of transformer-based language models has reshaped how AI systems process and generate text. In software engineering (SE), these models now support di...
A Software Bill of Materials (SBOM) is a machine-readable artifact that systematically organizes software information, enhancing supply chain transparency and s...
Pharo offers a sophisticated completion engine based on semantic heuristics, which coordinates specific fetchers within a lazy architecture. These heuristics ca...
Distributed AI systems face critical memory management challenges across computation, communication, and deployment layers. RRAM based in memory computing suffe...
The Experiment: Probing the Black Box For years, we have treated large language models LLMs as black boxes. When a model says, “I am currently thinking about c...
We propose Mesh4D, a feed-forward model for monocular 4D mesh reconstruction. Given a monocular video of a dynamic object, our model reconstructs the object's c...
Recently, Quantum Visual Fields (QVFs) have shown promising improvements in model compactness and convergence speed for learning the provided 2D or 3D signals. ...
Nighttime color constancy remains a challenging problem in computational photography due to low-light noise and complex illumination conditions. We present RL-A...
