6 citations · 12 across the 7 of their papers we have counts for
7 papers
Instructional Goal-Aligned Question Generation for Student Evaluation in Virtual Lab Settings: How Closely Do LLMs Actually Align?
R. Alexander Knipper, Indrani Dey, Souvika Sarkar +3
Virtual Labs offer valuable opportunities for hands-on, inquiry-based science learning, yet teachers often struggle to adapt them to fit their instructional goals. Third-party mate…
The Bias is in the Details: An Assessment of Cognitive Bias in LLMs
R. Alexander Knipper, Charles S. Knipper, Kaiqi Zhang +3
As Large Language Models (LLMs) are increasingly embedded in real-world decision-making processes, it becomes crucial to examine the extent to which they exhibit cognitive biases.…
SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics
Effat Farhana, Souvika Sarkar, Ralph Knipper +4
Simulations are widely used to teach science in grade schools. These simulations are often augmented with a conversational artificial intelligence (AI) agent to provide real-time s…
LLMs as Meta-Reviewers' Assistants: A Case Study
Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal +11
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves assimilating diverse opinions from multiple expert peer…
SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks
R. Alexander Knipper, Kaniz Mishty, Mehdi Sadi +1
As spiking neural networks receive more attention, we look toward applications of this computing paradigm in fields other than computer vision and signal processing. One major fiel…
Introducing "Forecast Utterance" for Conversational Data Science
Md Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker
Envision an intelligent agent capable of assisting users in conducting forecasting tasks through intuitive, natural conversations, without requiring in-depth knowledge of the under…
ChatGPT as your Personal Data Scientist
Md Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker Santu
The rise of big data has amplified the need for efficient, user-friendly automated machine learning (AutoML) tools. However, the intricacy of understanding domain-specific data and…