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Pre-training LLMs using human-like development data corpus
Pre-trained Large Language Models (LLMs) have shown success in a diverse set of language inference and understanding tasks.
Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
This research shows the utility of understanding LLMs using behavioral benchmarks and points the way to future work on the number representations of LLMs and their cognitive plausibility.
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