Dissociating language and thought in large language models

16 January 2023

Nancy Kanwisher

Papers citing "Dissociating language and thought in large language models"

28 / 128 papers shown

Title
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies Ethan Gotlieb Wilcox Peng Qian Richard Futrell Miguel Ballesteros R. Levy 53 56 0 03 Mar 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 129 1,234 0 04 Feb 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 75 555 0 21 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.4K 94,511 0 11 Oct 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 82 608 0 04 Oct 2018
What can linguistics and deep learning contribute to each other? Tal Linzen 72 41 0 11 Sep 2018
Can LSTM Learn to Capture Agreement? The Case of Basque Shauli Ravfogel Francis M. Tyers Yoav Goldberg 52 43 0 11 Sep 2018
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency Richard Futrell Ethan Gotlieb Wilcox Takashi Morita R. Levy 44 57 0 05 Sep 2018
What do RNN Language Models Learn about Filler-Gap Dependencies? Ethan Gotlieb Wilcox R. Levy Takashi Morita Richard Futrell LRM 60 168 0 31 Aug 2018
Targeted Syntactic Evaluation of Language Models Rebecca Marvin Tal Linzen 70 415 0 27 Aug 2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information Mario Giulianelli J. Harding Florian Mohnert Dieuwke Hupkes Willem H. Zuidema 56 191 0 24 Aug 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference Rowan Zellers Yonatan Bisk Roy Schwartz Yejin Choi 98 718 0 16 Aug 2018
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks J. Loula Marco Baroni Brenden M. Lake KELM CoGe 42 131 0 19 Jul 2018
Are All Languages Equally Hard to Language-Model? Ryan Cotterell Sabrina J. Mielke Jason Eisner Brian Roark 45 96 0 10 Jun 2018
On the Impact of Various Types of Noise on Neural Machine Translation Huda Khayrallah Philipp Koehn AAML 60 219 0 31 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 852 7,141 0 20 Apr 2018
Colorless green recurrent networks dream hierarchically Kristina Gulordava Piotr Bojanowski Edouard Grave Tal Linzen Marco Baroni 76 504 0 29 Mar 2018
Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks R. Thomas McCoy Robert Frank Tal Linzen 76 81 0 25 Feb 2018
Synthetic and Natural Noise Both Break Neural Machine Translation Yonatan Belinkov Yonatan Bisk 109 741 0 06 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 624 130,942 0 12 Jun 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 126 3,282 0 12 Jun 2017
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning L. Lucy Jon Gauthier NAI 51 62 0 31 May 2017
Inferring and Executing Programs for Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Judy Hoffman Li Fei-Fei C. L. Zitnick Ross B. Girshick NAI 69 545 0 10 May 2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes AI4TS SSL 205 2,103 0 05 May 2017
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 99 903 0 04 Nov 2016
Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan J. Bryson Arvind Narayanan 185 2,658 0 25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 92 3,127 0 21 Jul 2016
Learning to Compose Neural Networks for Question Answering Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein NAI KELM BDL CoGe 91 565 0 07 Jan 2016