Apple research questions OpenAI's claims about o1's reasoning
o1 is not mathematical reasoning
Paper: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models (22 Pages)
Researchers from Apple are interested in discussing the limitations of Large Language Models (LLMs) in performing mathematical reasoning.
Hmm..What’s the background?
While LLMs have shown improvements in solving math problems from the GSM8K dataset, there are concerns about whether they have truly developed mathematical reasoning abilities. The existing GSM8K benchmark has limitations: it offers only a single performance metric, risks data contamination, and lacks flexibility in generating diverse questions and adjusting difficulty levels. To address these limitations, the authors introduce GSM-Symbolic, an enhanced benchmark created from symbolic templates. GSM-Symbolic enables more controllable evaluations of LLMs' mathematical reasoning capabilities.
Ok, So what is proposed in the research paper?
GSM-Symbolic was used to evaluate 25 state-of-the-art LLMs, revealing several insights into their behavior in mathematical reasoning. The study revealed that LLM performance on GSM8K can be viewed as a distribution with significant variance across different instantiations of the same question.
GSM-NoOp, a dataset created by adding irrelevant information to GSM-Symbolic questions, showed significant performance drops (up to 65%) across all models. This further supports the pattern-matching hypothesis and raises concerns about LLMs' ability to discern relevant information for problem-solving.
What’s next?
Future research should focus on developing AI models capable of formal reasoning, moving beyond pattern recognition to achieve more robust and generalizable problem-solving skills.
o1 is not mathematical reasoning
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