14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.HC2023★ 14 cited
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…
cs.HC2023★ 1 cited
Interactive Learning of Hierarchical Tasks from Dialog with GPT
Lane Lawley, Christopher J. MacLellan
We present a system for interpretable, symbolic, interactive task learning from dialog using a GPT model as a conversational front-end. The learned tasks are represented as hierarc…
cs.CL2022
Mining Logical Event Schemas From Pre-Trained Language Models
Lane Lawley, Lenhart Schubert
We present NESL (the Neuro-Episodic Schema Learner), an event schema learning system that combines large language models, FrameNet parsing, a powerful logical representation of lan…