1 code implementation • 9 May 2024 • David Heineman, Reba Koenen, Sashank Varma
Category fluency is a widely studied cognitive phenomenon, yet two conflicting accounts have been proposed as the underlying retrieval mechanism -- an optimal foraging process deliberately searching through memory (Hills et al., 2012) and a random walk sampling from a semantic network (Abbott et al., 2015).
1 code implementation • 6 Mar 2024 • Xin Lian, Sashank Varma, Christopher J. MacLellan
Cobweb, a human-like category learning system, differs from most cognitive science models in incrementally constructing hierarchically organized tree-like structures guided by the category utility measure.
no code implementations • 18 Jan 2024 • Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank Varma
In addition, because our method is orthogonal to other methods, future research can combine training in power-law environments with other continual learning mechanisms.
no code implementations • 26 Nov 2023 • 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 successor function and understanding the countably infinite.
no code implementations • 8 Nov 2023 • 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.
no code implementations • 18 May 2023 • Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma
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.