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marcodsn/altered-riddles

Altered Riddles: A Benchmark for Conditioned Override in LLMs Altered Riddles is a benchmark designed to measure Conditioned Override Rate (COR) — the tendency of language models to fall back on memorized answers when a familiar riddle is subtly modified. This benchmark helps identify when models solve problems based on memorization versus reasoning. Dataset Description The benchmark measures how often models fail to adapt when a well-known riddle is altered in… See the full description on the dataset page: https://huggingface.co/datasets/marcodsn/altered-riddles.

Author / organizationmarcodsn
License (as declared)apache-2.0
Downloads358 (as reported by Hugging Face)
Likes11
Created3 May 2025
Last updated at source18 April 2026
reasoningquestion-answeringchain-of-thoughtcommon-sensebias-mitigationbenchmarkriddles
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  • 17 Oct 2026 Description: Altered Riddles: A Benchmark for Conditioned Override in LLMs Altered Riddles is a benchmark designed to measure Conditioned Override Rate (COR) — the tendency of language models to fall back on memorized answers when a familiar riddle is s → Altered Riddles: A Benchmark for Conditioned Override in LLMs Altered Riddles is a benchmark designed to measure Conditioned Override Rate (COR) — the tendency of language models to fall back on memorized answers when a familiar riddle is s

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