HellaSwag: A Benchmark Designed to Fool LLMs
HellaSwag is a commonsense benchmark designed to fool language models. It asks an AI to pick the most logical sentence ending, but the wrong answers are specifically generated to trick machines, not humans. It's used to test for true contextual understanding.
HellaSwag is a commonsense benchmark designed to be easy for humans but deceptively hard for LLMs. It asks a model to pick the most logical ending to a sentence, but the wrong answers are adversarially generated to fool AI. It's used to test if a model has genuine contextual understanding or is just good at statistical pattern matching. The footgun is assuming high scores on simpler benchmarks mean a model has mastered commonsense; HellaSwag was created to expose these deeper reasoning gaps.
Read the original → arXiv
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