Ellie Pavlick

Datos Biográficos

ID6537085
NOMBREEllie Pavlick
NOMBRESEllie
APELLIDOPavlick
FIRMAPAVLICK E
AFILIACIONESBrown University
ORCID0000-0002-7155-5420
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS3
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1

  • LLMs model how humans induce logically structured rules

    Open AccessAlyssa Loo, Ellie Pavlick et al.ARTICLEJournal of Memory and Language2026

  • LLMs as models for analogical reasoning

    Open AccessSam Musker, Alex Duchnowski et al.ARTICLEJournal of Memory and Language2025

    Analogical reasoning — the capacity to identify and map structural relationships between different domains — is fundamental to human cognition and learning. Recent studies have shown that large language models (LLMs) can sometimes match humans in analogical reasoning tasks, opening the possibility that analogical reasoning might emerge from domain-general processes. However, it is still debated whether these emergent capacities are largely superf…

  • Semantic Structure in Deep Learning

    Ellie PavlickARTICLEAnnual Review of Linguistics2021Citada por: 3Referencias: 8

    Deep learning has recently come to dominate computational linguistics, leading to claims of human-level performance in a range of language processing tasks. Like much previous computational work, deep learning–based linguistic representations adhere to the distributional meaning-in-use hypothesis, deriving semantic representations from word co-occurrence statistics. However, current deep learning methods entail fundamentally new models of lexical…