SimpleBench Benchmark

A SimpleBench Benchmark is a multi-choice reasoning assessment benchmark that tests basic reasoning, spatio-temporal understanding, social intelligence, and adversarial robustness where unspecialized humans outperform frontier models.

• Context:
  • It can typically expose Reasoning Gaps in large language models.
  • It can typically measure Spatio-Temporal Understanding through temporal relation questions.
  • It can typically assess Social Intelligence via empathy-based tasks.
  • It can typically test Adversarial Robustness using trick questions.
  • It can typically establish Human Baseline Performance for comparison.
  • ...
  • It can contain over 200 Questions across multiple domains.
  • It can achieve 83.7% Human Baseline from nine participants.
  • It can limit o1 Preview Performance to 41.7 percent.
  • It can restrict Best Model Performance to approximately 62 percent.
  • ...
  • It can range from being a Simple SimpleBench Benchmark to being a Complex SimpleBench Benchmark, depending on its SimpleBench question difficulty.
  • It can range from being a Domain-Specific SimpleBench Benchmark to being a Multi-Domain SimpleBench Benchmark, depending on its SimpleBench coverage breadth.
  • ...
  • It can contradict AI Plateau Claims through performance gaps.
  • It can identify Model Weaknesses in fundamental reasoning.
  • It can guide Research Directions toward human-like understanding.
  • It can validate Capability Limitations of current systems.
  • It can inform Benchmark Design for future evaluations.
  • ...
• Example(s):
  • Spatio-Temporal SimpleBench Items testing before/after understanding.
  • Social Intelligence SimpleBench Items requiring empathy reasoning.
  • Adversarial SimpleBench Trick Questions confounding retrieval-based models.
  • Temporal Reasoning SimpleBench Questions about event sequences.
  • Social Context SimpleBench Questions involving human interactions.
  • ...
• Counter-Example(s):
  • MMLU Benchmark, measuring encyclopedic knowledge where models surpass humans.
  • HellSwag Benchmark, testing logical reasoning with model advantages.
  • Knowledge-Based Benchmark, favoring memorization over reasoning.
• See: AI Benchmark, Reasoning Evaluation, Human-AI Performance Comparison, Model Capability Assessment.

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