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Beau LeBlond

dblp:439/4163 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021

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.

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

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › text generation › domain-specific text generation
educational content generation
1.012026
EDUMATH: Generating Standards-aligned Educational Math Word Problems · ACL (1) 2026
Natural language and speech › Language models and text generation › text generation
math word problem generation
1.012026
EDUMATH: Generating Standards-aligned Educational Math Word Problems · ACL (1) 2026

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

standards-aligned generation · 2.0
YearPublicationVenuePosition
2026 EDUMATH: Generating Standards-aligned Educational Math Word Problems
abstract
Bryan R Christ, Penelope Molitz, Beau LeBlond, Zachary Gottesman, Jonathan Kropko, Thomas Hartvigsen. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Bryan R. Christ, Penelope Molitz, Beau LeBlond, Zachary Gottesman, Jonathan Kropko, Thomas Hartvigsen
ACL (1)3