Co-occurring keywords · papers mentioning both
Papers
Implicit Representations of Grammaticality in Language Models
ACL 2026
When transformers learn “impossible” languages, what do they learn?
CoNLL 2026
Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies
EMNLP 2025
Automatic Transcription of Grammaticality Judgements for Language Documentation
EACL 2024
Evaluating Grammatical Well-Formedness in Large Language Models: A Comparative Study with Human Judgments
ACL 2024
Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data
CoNLL 2024
To Ask LLMs about English Grammaticality, Prompt Them in a Different Language
EMNLP 2024
Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models
EMNLP 2023
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics
CoNLL 2023
Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model
ACL 2023
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
EMNLP 2020
Unsupervised Parsing via Constituency Tests
EMNLP 2020
Multiple Admissibility: Judging Grammaticality using Unlabeled Data in Language Learning
ACL 2019
RNN Simulations of Grammaticality Judgments on Long-distance Dependencies
COLING 2018