most citedAugmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2025★ 1 cited

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…