output
20082026
most citedGaia Data Release 2. Summary of the contents and survey properties

8.6k citations

381 papers

cs.CL2026

Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara +18

This paper presents an overview of the fourteenth edition of the BioASQ challenge, organized in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2026. BioASQ i…

cs.DC2026

Exploring the Role of LLMs in HPC Programming: A Survey

Strahinja Ljaljevic, Josep Jorba, Sergio Iserte

Large Language Models (LLMs) are emerging as promising assistants in High-Performance Computing (HPC), where programming remains complex and expertise-intensive. This survey system…

cs.CV2026

Leveraging Color Naming for Image Enhancement

David Serrano-Lozano, Luis Herranz, Michael S. Brown +1

Enhancing images to make them visually appealing is a persistent challenge in computer vision. Many deep-learning methods train models on paired datasets to replicate expert editin…

cs.ET2026

Post-Moore Technologies for Plasma Simulation: A Community Roadmap

Luca Pennati, Erik M. Åsgrim, Jeremy J. Williams +21

Plasma simulations are among the most computationally demanding scientific workloads, combining high-dimensional kinetic evolution, particle-mesh coupling, field solves, and data-i…

cs.DC2026

A Workflow-Oriented Framework for Asynchronous Human-AI Collaboration in Hybrid and Compute-Intensive HPC Environments

Sergio Mendoza, Cedric Bhihe, Natalia Zamora +5

Human involvement is critical in training and deploying AI systems in high-stakes defence and security contexts. However, real-time interaction is impractical in HPC environments d…

cs.DC2026★ 1 cited

Adaptation of AI-accelerated CFD Simulations to the IPU platform

P. Rosciszewski, A. Krzywaniak, S. Iserte +2

Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of \emph{AI for simulation}, where tradit…