17 citations · 18 across the 3 of their papers we have counts for
3 papers
Exploring LLM Reasoning Through Controlled Prompt Variations
Giannis Chatziveroglou, Richard Yun, Maura Kelleher
This study investigates the reasoning robustness of large language models (LLMs) on mathematical problem-solving tasks under systematically introduced input perturbations. Using th…
Learning Affects Trust: Design Recommendations and Concepts for Teaching Children -- and Nearly Anyone -- about Conversational Agents
Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher +1
Research has shown that human-agent relationships form in similar ways to human-human relationships. Since children do not have the same critical analysis skills as adults (and may…
What Do Children and Parents Want and Perceive in Conversational Agents? Towards Transparent, Trustworthy, Democratized Agents
Jessica Van Brummelen, Maura Kelleher, Mingyan Claire Tian +1
Historically, researchers have focused on analyzing WEIRD, adult perspectives on technology. This means we may not have technology developed appropriately for children and those fr…