Understanding source code changes and their impact on other code entities is a crucial skill in software development. However, the analysis of code changes and ...
Timely and accurate situational reports are essential for humanitarian decision-making, yet current workflows remain largely manual, resource intensive, and inc...
Recommender systems are enablers of personalized content delivery, and therefore revenue, for many large companies. In the last decade, deep learning recommende...
We study how the strongly sublinear MPC model relates to the classic, graph-centric distributed models, focusing on the Node-Capacitated Clique (NCC), a bandwid...
Urban underground cable construction is essential for enhancing the reliability of city power grids, yet its high construction costs make planning a worthwhile ...
Neural code models have been increasingly incorporated into software development processes. However, their susceptibility to backdoor attacks presents a signifi...
Efficiently harnessing GPU compute is critical to improving user experience and reducing operational costs in large language model (LLM) services. However, curr...
This article explores the role of unrecognised labour in corporate innovation systems via an analysis of researcher coding and discursive contributions to R, on...
Decentralized federated learning (DFL) enables collaborative model training across edge devices without centralized coordination, offering resilience against si...
Bangla is a low-resource language for code generation, lacking large-scale annotated datasets and tools to transform natural language specifications into execut...
Incorporating over-the-air computations (OAC) into the model training process of federated learning (FL) is an effective approach to alleviating the communicati...
Advancements in large language models (LLMs) are showing promising impact in software development and programming assistance. However, these models struggle whe...
