VANTA Research Reasoning Evaluation (VRRE): A Novel Framework for Semantic-Based LLM Reasoning Assessments

The VANTA Research Reasoning Evaluation (VRRE) introduces a novel, semantic-based framework for assessing large language model reasoning. Unlike traditional benchmarks such as BoolQ, PIQA, or ARC, which rely on binary scoring and format-dependent outputs, VRRE evaluates answers by meaning, reasoning fidelty, and faithfulness to context. 

In validation across multiple model architectures, VRRE detected a 2.5x improvement in reasoning ability that standard benchmarks failed to capture, demonstrating it's ability to reveal hidden model capabilities and failure modes. This approach makes VRRE especially relevant for alignment research, safety evaluations, and real-world deployment scenarios where surface correctiness is insufficient. 

VRRE is released under Apache 2.0 and developed by VANTA Research (Portland, Oregon) as part of it's mission to build aligned, reasoning-first AI evaluation methods.