2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025
MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers
Nicole Cho, William Watson
One critical challenge in the institutional adoption journey of Large Language Models (LLMs) stems from their propensity to hallucinate in generated responses. To address this, we…
cs.AI2024★ 2 cited
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
William Watson, Nicole Cho, Tucker Balch +1
A myriad of different Large Language Models (LLMs) face a common challenge in contextually analyzing table question-answering tasks. These challenges are engendered from (1) finite…
cs.CL2024
FlowMind: Automatic Workflow Generation with LLMs
Zhen Zeng, William Watson, Nicole Cho +4
The rapidly evolving field of Robotic Process Automation (RPA) has made significant strides in automating repetitive processes, yet its effectiveness diminishes in scenarios requir…