Enigmata-Eval

'Enigmata-Eval' is a dataset/benchmark used to evaluate the reasoning capabilities of Large Reasoning Models (LRMs) by assessing their performance on tasks that require generalizable reasoning across diverse domains.

Papers using Enigmata-Eval (2)

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles2025ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs2025