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Bookmark or Share- Oncel Tuzel Samy Bengio Mehrdad Farajtabar Apple arXiv:2410.05229v1 [cs ...ns, we conduct a large-scale study on several state-of-the-art open and closed models. To overcome the limitations of existing evaluations, we introduce GSM-Symbolic, an improved benchmark creat.
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning ...Specifically, the performance of all models declines when only the numerical values in the question are altered in the GSM-Symbolic benchmark. Furthermore, we investigate the fragility of mathematical reasoning in these models and show that their performance significantly deteriorates as the number of clauses in a question increases.
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning ...GSM-Symbolic is introduced, an improved benchmark created from symbolic templates that allow for the generation of a diverse set of questions that enables more controllable evaluations, providing key insights and more reliable metrics for measuring the reasoning capabilities of models. Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning ...
- Reasoning failures highlighted by Apple research on LLMs - AppleInsiderThe group has proposed a new benchmark, GSM-Symbolic, to help others measure the reasoning capabilities of various large language models (LLMs). Their initial testing reveals that slight changes ...
- Apple researchers find Large Language Models lack robust mathematical ...According to the study, titled GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models, LLMs rely on probabilistic pattern-matching, which is different from ...
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