1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Joint Training for Selective Prediction
Zhaohui Li, Rebecca J. Passonneau
Classifier models are prevalent in natural language processing (NLP), often with high accuracy. Yet in real world settings, human-in-the-loop systems can foster trust in model outp…
cs.SD2023
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
Zhaohui Li, Haitao Wang, Xinghua Jiang
We propose a method named AudioFormer,which learns audio feature representations through the acquisition of discrete acoustic codes and subsequently fine-tunes them for audio class…
stat.OT2022★ 1 cited
Foundations for NLP-assisted formative assessment feedback for short-answer tasks in large-enrollment classes
Susan Lloyd, Matthew Beckman, Dennis Pearl +3
Research suggests "write-to-learn" tasks improve learning outcomes, yet constructed-response methods of formative assessment become unwieldy with large class sizes. This study eval…