Summary:
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LLMs and Reasoning Deficiency
A recent study from Apple’s AI team found that large language models (LLMs) from companies like Meta and OpenAI lack basic reasoning skills. -
New Benchmark Proposal
The researchers introduced a new benchmark called GSM-Symbolic to evaluate the reasoning capabilities of various LLMs. -
Inconsistent Answers
Initial tests showed that minor changes in query wording led to vastly different answers, raising concerns about the models’ reliability. -
Fragility in Mathematical Reasoning
The study highlighted that adding contextual information to math questions could decrease accuracy by up to 65%, indicating the models’ inability to reason effectively. -
Pattern Matching Explained
The researchers concluded that LLM behavior is better described as sophisticated pattern matching, which is sensitive to changes in input, affecting output consistency.
Read more at: Apple Insider | ArXiv Paper