5 papers
Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction
Xin Lian, Nishant Baglodi, Christopher J. MacLellan
This paper introduces Cobweb4L, a novel approach for efficient language model learning that supports masked word prediction. The approach builds on Cobweb, an incremental system th…
Incremental Concept Formation over Visual Images Without Catastrophic Forgetting
Nicki Barari, Xin Lian, Christopher J. MacLellan
Deep neural networks have excelled in machine learning, particularly in vision tasks, however, they often suffer from catastrophic forgetting when learning new tasks sequentially.…
Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study
Jieyu Zhou, Christopher MacLellan
Interactive Task Learning (ITL) systems acquire task knowledge from human instructions in natural language interaction. The interaction design of ITL agents for hierarchical tasks…
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
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…
VAL: Interactive Task Learning with GPT Dialog Parsing
Lane Lawley, Christopher J. MacLellan
Machine learning often requires millions of examples to produce static, black-box models. In contrast, interactive task learning (ITL) emphasizes incremental knowledge acquisition…