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Backward Digit Span Benchmarks Working Memory in LLMs
The maintenance and manipulation of information in working memory (WM) is fundamental to human and artificial intelligence. Although human WM is famously capacity-limited, Large Language Models (LLMs) preserve inputs in the network’s context window, profoundly reducing capacity limits that depend on
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