output
20042026
most citedProbe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale

631 citations

109 papers

cs.CR2026

On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study

Daniel Rodriguez-Cardenas, David Nader Palacio, Anna Schmedding +8

Modern software systems require earlier and more scalable vulnerability severity assessment to reduce exposure to high-impact security flaws. Security analysts typically assign CVS…

cs.SE2026★ 3 cited

Reducing Hallucinations in Large Language Models Through Integrated Self-Verification and Retrieval-Augmented Generation

Ashly Joseph

Large Language Models (LLMs) are progressively used for advanced engineering tasks, includes Computer-Aided Design (CAD) documentation, standards compliance verification, and knowl…

cs.SE2026★ 8 cited

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs

Yanfu Yan, Nathan Cooper, Kevin Moran +3

Impact analysis (IA) is a critical software maintenance task that identifies the effects of a given set of code changes on a larger software project with the intention of avoiding…

cs.MA2026

Adoption and Ecosystem Health: A Longitudinal Analysis of Open-Source Multi-Agent Frameworks

Xi Zhang, Papi Menon, Vivian Chu +1

Since ChatGPT's launch in November 2022, open-source agentic frameworks have proliferated, making framework selection important for engineering teams while obscured by popularity s…

cs.SE2026★ 1 cited

Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework

Petar Radanliev, Omar Santos, Carsten Maple +1

A protocol driven framework is presented that binds SBOM and AIBOM artefacts to deterministic environment capture and structured runtime telemetry. Exploitability is computed from…

cs.SE2026★ 1 cited

Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance

Petar Radanliev, Omar Santos, Carsten Maple +1

Artificial Intelligence (AI) systems are increasingly dependent on complex, multi-layered software supply chains that introduce challenges for reproducibility, transparency, and se…