ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.01329
  4. Cited By
RNNs as psycholinguistic subjects: Syntactic state and grammatical
  dependency

RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency

5 September 2018
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
R. Levy
ArXivPDFHTML

Papers citing "RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency"

16 / 16 papers shown
Title
Language Models Largely Exhibit Human-like Constituent Ordering Preferences
Language Models Largely Exhibit Human-like Constituent Ordering Preferences
Ada Defne Tur
Gaurav Kamath
Siva Reddy
61
0
0
08 Feb 2025
Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language
  Models
Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
Xinyu Zhou
Delong Chen
Samuel Cahyawijaya
Xufeng Duan
Zhenguang G. Cai
40
1
0
19 Sep 2024
Representations as Language: An Information-Theoretic Framework for
  Interpretability
Representations as Language: An Information-Theoretic Framework for Interpretability
Henry Conklin
Kenny Smith
MILM
42
1
0
04 Jun 2024
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
34
209
0
16 Jan 2023
SLING: Sino Linguistic Evaluation of Large Language Models
SLING: Sino Linguistic Evaluation of Large Language Models
Yixiao Song
Kalpesh Krishna
R. Bhatt
Mohit Iyyer
26
8
0
21 Oct 2022
Assessing the Limits of the Distributional Hypothesis in Semantic
  Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Mark Anderson
Jose Camacho-Collados
35
0
0
16 May 2022
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with
  Controllable Perturbations
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations
Ekaterina Taktasheva
Vladislav Mikhailov
Ekaterina Artemova
24
13
0
28 Sep 2021
Syntactic Perturbations Reveal Representational Correlates of
  Hierarchical Phrase Structure in Pretrained Language Models
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Matteo Alleman
J. Mamou
Miguel Rio
Hanlin Tang
Yoon Kim
SueYeon Chung
NAI
38
17
0
15 Apr 2021
Can RNNs learn Recursive Nested Subject-Verb Agreements?
Can RNNs learn Recursive Nested Subject-Verb Agreements?
Yair Lakretz
T. Desbordes
J. King
Benoît Crabbé
Maxime Oquab
S. Dehaene
160
19
0
06 Jan 2021
Investigating Novel Verb Learning in BERT: Selectional Preference
  Classes and Alternation-Based Syntactic Generalization
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
Tristan Thrush
Ethan Gotlieb Wilcox
R. Levy
19
14
0
04 Nov 2020
A Systematic Assessment of Syntactic Generalization in Neural Language
  Models
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
ELM
35
212
0
07 May 2020
Probing the phonetic and phonological knowledge of tones in Mandarin TTS
  models
Probing the phonetic and phonological knowledge of tones in Mandarin TTS models
Jian Zhu
21
8
0
23 Dec 2019
Hierarchical Representation in Neural Language Models: Suppression and
  Recovery of Expectations
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
Ethan Gotlieb Wilcox
R. Levy
Richard Futrell
MILM
13
30
0
10 Jun 2019
Structural Supervision Improves Learning of Non-Local Grammatical
  Dependencies
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Miguel Ballesteros
R. Levy
26
55
0
03 Mar 2019
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
92
1,376
0
31 May 2018
The Fine Line between Linguistic Generalization and Failure in
  Seq2Seq-Attention Models
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
L. Shekhar
Niranjan Balasubramanian
102
30
0
03 May 2018
1