Grusha Prasad
10 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (20)
π
Interdisciplinary Bridge
π
Conference Polyglot
(4)
πΊοΈ
Taxonomy Completionist
(20)
π
Keyword Champion
(5)
π
Trend Setter
π
Century Club
(10)
β
The Questioner
(3)
ποΈ
Keyword Collector
(55)
Conferences
CONLL (4)
EMNLP (4)
ACL (1)
NAACL (1)
Top co-authors
Keywords
relative clause
(5)
structural priming
(2)
probing analysis
(2)
syntactic representation
(2)
causal inference
(2)
agreement prediction
(2)
counterfactual intervention
(2)
dataset creation
(1)
natural language processing
(1)
representation learning
(1)
model interpretability
(1)
sentence processing
(1)
psycholinguistic modeling
(1)
causal effect
(1)
language understanding
(1)
sentence representation
(1)
cognitive modeling
(1)
human-ai interaction
(1)
syntax analysis
(1)
syntactic parsing
(1)
Papers
Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal
ACL 2024
SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser
EMNLP 2024
SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser
CONLL 2024
Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?
CONLL 2023
Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?
EMNLP 2023
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
CONLL 2021
To what extent do human explanations of model behavior align with actual model behavior?
EMNLP 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
EMNLP 2021
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
CONLL 2019