In Case You Missed It: ARC 'Challenge' Is Not That Challenging

December 23, 2024 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors ลukasz Borchmann arXiv ID 2412.17758 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 2 Venue arXiv.org Last Checked 5 months ago
Abstract
ARC Challenge appears more difficult than ARC Easy for modern LLMs primarily due to an evaluation setup that prevents direct comparison of answer choices rather than inherent complexity. Although some researchers have quietly shifted to a more appropriate scheme over the last year, the implications of this change have yet to be widely acknowledged. We highlight this overlooked shift, show how similar evaluation practices falsely imply reasoning deficits in other benchmarks, and demonstrate that fairer methods dramatically reduce performance gaps (e.g. on SIQA) and even yield superhuman results (OpenBookQA). In doing so, we reveal how evaluation shapes perceived difficulty and offer guidelines to ensure that multiple-choice evaluations accurately reflect actual model capabilities.
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