arXiv Artificial Intelligence

$A^2E$ : An End-to-End Agent Auditing Engine

14 days ago 10.09.2026 07:00 👁 8 views
$A^2E$ : An End-to-End Agent Auditing Engine

Quick summary

arXiv:2608.07346v4 Announce Type: replace Abstract: With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploying agents across a wide range of domains. The fast-evolving harness ecosystem has also made rigorous capability evaluation increasingly important. However, efficiently building an end-to-end, systematic, and comprehensive evaluation pipeline remains a significant challenge. To address this challenge, we introduce $A^2E$ (Agent Auditing Engine), an end-to-end evaluation engine designed for agent harnesses. $A^2E$ leverages our

Key takeaways

  • arXiv:2608.07346v4 Announce Type: replace Abstract: With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploying agents across a wide range of domains.
  • The fast-evolving harness ecosystem has also made rigorous capability evaluation increasingly important.
  • However, efficiently building an end-to-end, systematic, and comprehensive evaluation pipeline remains a significant challenge.

Why it matters

AI progress is not only a software story. Chips, data centers and energy decisions help determine which models can operate economically and what end users ultimately pay.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗