One Model for the Learning of Language

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One Model for the Learning of Language

16 November 2017

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Papers citing "One Model for the Learning of Language"

18 / 18 papers shown

Title
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Jiayi Geng Howard Chen Dilip Arumugam Thomas L. Griffiths 96 0 0 23 May 2025
Meta-Learning Neural Mechanisms rather than Bayesian Priors Michael Goodale Salvador Mascarenhas Yair Lakretz 150 1 0 20 Mar 2025
Relational decomposition for program synthesis Céline Hocquette Andrew Cropper 97 4 0 22 Aug 2024
No Such Thing as a General Learner: Language models and their dual optimization Emmanuel Chemla R. Nefdt 69 0 0 18 Aug 2024
Building Machines that Learn and Think with People Katherine M. Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra Lionel Wong ... Mark K. Ho Vikash K. Mansinghka Adrian Weller Joshua B. Tenenbaum Thomas Griffiths 133 38 0 22 Jul 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 184 4 0 24 May 2024
Program-Based Strategy Induction for Reinforcement Learning Carlos G. Correa Thomas Griffiths Nathaniel D. Daw 69 1 0 26 Feb 2024
Opening the black box of language acquisition Jérome Michaud Anna Jon-And 36 0 0 18 Feb 2024
Distilling Symbolic Priors for Concept Learning into Neural Networks Ioana Marinescu R. Thomas McCoy Thomas Griffiths 75 2 0 10 Feb 2024
Bayes in the age of intelligent machines Thomas Griffiths Jian-Qiao Zhu Erin Grant R. Thomas McCoy AI4CE 104 19 0 16 Nov 2023
In-Context Learning Dynamics with Random Binary Sequences Eric J. Bigelow Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka T. Ullman 92 4 0 26 Oct 2023
Humans and language models diverge when predicting repeating text Aditya R. Vaidya Javier S. Turek Alexander G. Huth 69 6 0 10 Oct 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction Taylor Webb Steven M. Frankland Awni Altabaa Simon N. Segert Kamesh Krishnamurthy ... Tyler Giallanza Zack Dulberg Randall O'Reilly John Lafferty Jonathan D. Cohen 85 31 0 12 Sep 2023
A Critical Review of Large Language Models: Sensitivity, Bias, and the Path Toward Specialized AI Arash Hajikhani Carolyn Cole ELM 57 16 0 28 Jul 2023
Modeling rapid language learning by distilling Bayesian priors into artificial neural networks R. Thomas McCoy Thomas Griffiths BDL 89 17 0 24 May 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 94 27 0 12 Apr 2023
What Artificial Neural Networks Can Tell Us About Human Language Acquisition Alex Warstadt Samuel R. Bowman 77 120 0 17 Aug 2022
Minimum Description Length Recurrent Neural Networks Nur Lan Michal Geyer Emmanuel Chemla Roni Katzir 79 13 0 31 Oct 2021