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Matthew Shu
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Eliciting bias in question answering models through ambiguity
A Mao, N Raman, M Shu, E Li, F Yang, J Boyd-Graber
Proceedings of the 3rd Workshop on Machine Reading for Question Answering, 92-99, 2021
72021
A smart mnemonic sounds like" glue tonic": Mixing llms with student feedback to make mnemonic learning stick
N Balepur, M Shu, A Hoyle, A Robey, S Feng, S Goldfarb-Tarrant, ...
arXiv preprint arXiv:2406.15352, 2024
32024
Artificial Intelligence Summaries of Historical Events Improve Knowledge Compared to Human-Written Summaries
D Karell, M Shu, K Okura, T Davidson
Open Science Foundation, 2024
22024
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
M Shu, N Balepur, S Feng, J Boyd-Graber
arXiv preprint arXiv:2402.12291, 2024
22024
Human Learning Meets Representation Learning
M Shu, S Feng, J Boyd-Graber
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학술자료 1–5