As LLM deployments scale over more hardware, the probability of a single failure in a system increases significantly, and cloud operators must consider robust c...
Advanced reasoning typically requires Chain-of-Thought prompting, which is accurate but incurs prohibitive latency and substantial test-time inference costs. Th...
Customer-provided reviews have become an important source of information for business owners and other customers alike. However, effectively analyzing millions ...
The analyzability of hybrid software, which integrates both classical and quantum components, is a key factor in ensuring its maintainability and industrial ado...
Large Language Models (LLMs) are transforming scholarly tasks like search and summarization, but their reliability remains uncertain. Current evaluation metrics...
Medical Cyber-Physical Systems (CPSs) integrating Patients, Devices, and healthcare personnel (Physicians) form safety-critical PDP triads whose dependability i...
Medical image processing demands specialized software that handles high-dimensional volumetric data, heterogeneous file formats, and domain-specific training pr...
This paper presents the design and implementation of a modular multi-document interface (MDI) framework for scientific visualization and simulation in the Java ...
Common definitions of the 'standard' LOCAL model tend to be sloppy and even self-contradictory on one point: do the nodes update their state using an arbitrary ...
Fully leveraging the capabilities of AI agents in software development requires a rethinking of the software ecosystem itself. To this end, this paper outlines ...
Internet measurement faces twin challenges: complex analyses require expert-level orchestration of tools, yet even syntactically correct implementations can hav...
The forest-of-refinement-trees approach allows for dynamic adaptive mesh refinement (AMR) at negligible cost. While originally developed for quadrilateral and h...
