Papers by Jasmine Tran

1 papers
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency (2023.emnlp-main)

Copied to clipboard

Challenge: Developing an educational test can be expensive and time-consuming, as each item must be written by experts and then evaluated by collecting hundreds of student responses.
Approach: They propose to fine-tune large language models to simulate how previous students would have responded to unseen items to generate high-quality parallel tests.
Outcome: The proposed test forms are designed to be content-equivalent and produce identical individual scores as the original test form.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations