15 citations · 28 across the 9 of their papers we have counts for
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cs.OH2023
Rock Climbing Route Generation and Grading as Computational Creativity
Jesse Roberts
In this paper, we bridge work in rock climbing route generation and grading into the computational creativity community. We provide the necessary background to situate that literat…
cs.CL2023★ 2 cited
Using Artificial Populations to Study Psychological Phenomena in Neural Models
Jesse Roberts, Kyle Moore, Drew Wilenzick +1
The recent proliferation of research into transformer based natural language processing has led to a number of studies which attempt to detect the presence of human-like cognitive…
cs.CL2023★ 15 cited
How Powerful are Decoder-Only Transformer Neural Models?
Jesse Roberts
In this article we prove that the general transformer neural model undergirding modern large language models (LLMs) is Turing complete under reasonable assumptions. This is the fir…