Why “Almost Right” Answers Are the Hardest Test for AI

CRITICBENCH is a benchmark designed to test AI models using data that exposes subtle weaknesses in reasoning. Instead of focusing on obvious mistakes, it samples “convincing wrong answers”—responses that appear correct but contain hidden flaws—alongside correct outputs with varied complexity. By filtering low-quality models, emphasizing reasoning steps, and using nuanced sampling strategies across datasets like GSM8K, HumanEval, and TruthfulQA, CRITICBENCH offers a rigorous way to compare strong versus weak LLMs.