2 citations · 3 across the 3 of their papers we have counts for
3 papers
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
Conrad Borchers, Danielle R. Thomas, Jionghao Lin +2
Large Language Models (LLMs) like GPT-4o can help automate text classification tasks at low cost and scale. However, there are major concerns about the validity and reliability of…
Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training
Sanjit Kakarla, Conrad Borchers, Danielle Thomas +2
Assessing learners in ill-defined domains, such as scenario-based human tutoring training, is an area of limited research. Equity training requires a nuanced understanding of conte…
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
Jionghao Lin, Zifei Han, Danielle R. Thomas +4
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for qualified tutors remains a challenge,…