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Glib Manaiev

dblp:410/4730 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

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
Probabilistic and Bayesian machine learning · 61% Language models and text generation · 30% Information extraction and text analysis · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes
point process
0.912025
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior · ACL (1) 2025
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes › point process
spatio-temporal point process
0.912025
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior · ACL (1) 2025
Natural language and speech › Information extraction and text analysis
psycholinguistic modeling
0.312025
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior · ACL (1) 2025

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

spatio-temporal point process · 0.9probabilistic modeling · 0.9
YearPublicationVenuePosition
2025 A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
abstract
Francesco Ignazio Re, Andreas Opedal, Glib Manaiev, Mario Giulianelli, Ryan Cotterell. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Francesco Ignazio Re, Andreas Opedal, Glib Manaiev, Mario Giulianelli, Ryan Cotterell
ACL (1)3