5 citations · 6 across the 4 of their papers we have counts for
4 papers
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
Vincent Koc, Patrick Erichsen, Jacob Tomlinson +3
Agent skills extend AI agents with reusable instructions, tools, scripts, references, and workflows, establishing a security boundary distinct from both model safety and traditiona…
Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
Vincent Koc
Tiny QA Benchmark++ (TQB++) presents an ultra-lightweight, multilingual smoke-test suite designed to give large-language-model (LLM) pipelines a unit-test style safety net dataset…
Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)
Vincent Koc, Jacques Verre, Douglas Blank +1
AI development environments are evolving into observability first platforms that integrate real time telemetry, prompt traces, and evaluation feedback into the developer workflow.…
Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges
Vincent Koc
The global crisis of language endangerment meets a technological turning point as Generative AI (GenAI) and Large Language Models (LLMs) unlock new frontiers in automating corpus c…