most citedDo Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?

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cs.LG2024

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs

Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf +2

Large language models (LLMs) can solve arithmetic word problems with high accuracy, but little is known about how well they generalize to more complex problems. This is difficult t…