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Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments
In addition, because our method is orthogonal to other methods, future research can combine training in power-law environments with other continual learning mechanisms.
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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