1 citations · 1 across the 4 of their papers we have counts for
4 papers
Evaluating The Impact of Stimulus Quality in Investigations of LLM Language Performance
Timothy Pistotti, Jason Brown, Michael Witbrock
Recent studies employing Large Language Models (LLMs) to test the Argument from the Poverty of the Stimulus (APS) have yielded contrasting results across syntactic phenomena. This…
Exploring Gaps in the APS: Direct Minimal Pair Analysis in LLM Syntactic Assessments
Timothy Pistotti, Jason Brown, Michael Witbrock
Recent studies probing the Argument from the Poverty of the Stimulus (APS) have applied Large Language Models (LLMs) to test the learnability of complex syntax through surprisal-ba…
Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
Siyu Yu, Zihan Qin, Tingshan Liu +4
The complete connectome of the Drosophila larva brain offers a unique opportunity to investigate whether biologically evolved circuits can support artificial intelligence. We conve…
Neural scaling laws for phenotypic drug discovery
Drew Linsley, John Griffin, Jason Parker Brown +5
Recent breakthroughs by deep neural networks (DNNs) in natural language processing (NLP) and computer vision have been driven by a scale-up of models and data rather than the disco…