8 citations · 17 across the 3 of their papers we have counts for
3 papers
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
James R. Kirk, Robert E. Wray, Peter Lindes +1
Large language models (LLMs) offer significant promise as a knowledge source for task learning. Prompt engineering has been shown to be effective for eliciting knowledge from an LL…
Improving Language Model Prompting in Support of Semi-autonomous Task Learning
James R. Kirk, Robert E. Wray, Peter Lindes +1
Language models (LLMs) offer potential as a source of knowledge for agents that need to acquire new task competencies within a performance environment. We describe efforts toward a…
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks
James R. Kirk, Robert E. Wray, Peter Lindes +1
Autonomous agents are able to draw on a wide variety of potential sources of task knowledge; however current approaches invariably focus on only one or two. Here we investigate the…