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Alison Robey

dblp:239/0308 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%
Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
large language model
0.812024
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick · EMNLP 2024
Learning and educational technologies › educational assessment
student feedback
0.212024
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick · EMNLP 2024

Methods — techniques the papers use, named apart from their topics

large language model · 1.5
YearPublicationVenuePosition
2024 A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
abstract
Nishant Balepur, Matthew Shu, Alexander Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan Lee Boyd-Graber. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng 0005, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
EMNLP4
2018 Optimizing Cue Use in Student Restudy Decisions
Alison Robey, Michael Dougherty
CogSci1