3 citations · 3 across the 3 of their papers we have counts for
3 papers
Position: We Need An Algorithmic Understanding of Generative AI
Oliver Eberle, Thomas McGee, Hamza Giaffar +2
What algorithms do LLMs actually learn and use to solve problems? Studies addressing this question are sparse, as research priorities are focused on improving performance through s…
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
Shanka Subhra Mondal, Jonathan D. Cohen, Taylor W. Webb
Abstract visual reasoning is a characteristically human ability, allowing the identification of relational patterns that are abstracted away from object features, and the systemati…
Improving Planning with Large Language Models: A Modular Agentic Architecture
Taylor Webb, Shanka Subhra Mondal, Ida Momennejad
Large language models (LLMs) demonstrate impressive performance on a wide variety of tasks, but they often struggle with tasks that require multi-step reasoning or goal-directed pl…