2 citations · 6 across the 17 of their papers we have counts for
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cs.LG2023
Understanding the Countably Infinite: Neural Network Models of the Successor Function and its Acquisition
Vima Gupta, Sashank Varma
As children enter elementary school, their understanding of the ordinal structure of numbers transitions from a memorized count list of the first 50-100 numbers to knowing the succ…
cs.CL2023★ 1 cited
Pre-training LLMs using human-like development data corpus
Khushi Bhardwaj, Raj Sanjay Shah, Sashank Varma
Pre-trained Large Language Models (LLMs) have shown success in a diverse set of language inference and understanding tasks. The pre-training stage of LLMs looks at a large corpus o…
cs.AI2023
Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
Raj Sanjay Shah, Vijay Marupudi, Reba Koenen +2
Large Language Models (LLMs) do not differentially represent numbers, which are pervasive in text. In contrast, neuroscience research has identified distinct neural representations…