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cs.CL2026
Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository
Radhika Kapoor, Sang T. Truong, Nick Haber +2
Prediction of item difficulty based on its text content is of substantial interest. In this paper, we focus on the related problem of recovering IRT-based difficulty when the data…
cs.CL2025
The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology
Fagun Patel, Duc Q. Nguyen, Sang T. Truong +3
According to the U.S. National Institutes of Health, more than 3.4 million children experience speech disorders that require clinical intervention. The number of speech-language pa…