Shamya Karumbaiah

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2025

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Identifying Biases in Large Language Model Assessment of Linguistically Diverse Texts
Lionel Hsien Meng | Shamya Karumbaiah | Vivek Saravanan | Daniel Bolt
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress

The development of Large Language Models (LLMs) to assess student text responses is rapidly progressing but evaluating whether LLMs equitably assess multilingual learner responses is an important precursor to adoption. Our study provides an example procedure for identifying and quantifying bias in LLM assessment of student essay responses.
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