EvoAgentX is an open-source framework for building, evaluating, and evolving LLM-based agents or agentic workflows in an automated, modular, and goal-driven manner. At its core, EvoAgentX enables ...
Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...
Abstract: In recent years, simulation-based optimization methods for analog integrated circuit design parameters optimization (a.k.a sizing) have attracted extensive research interest. Currently, ...
Abstract: Automated detection of software vulnerabilities is critical for enhancing security, yet existing methods often struggle with the complexity and diversity of modern codebases. In this paper, ...