What Artificial Neural Networks Can Tell Us About Human Language Acquisition

17 August 2022

Papers citing "What Artificial Neural Networks Can Tell Us About Human Language Acquisition"

28 / 28 papers shown

Title
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models Lennart Stöpler Rufat Asadli Mitja Nikolaus Ryan Cotterell Alex Warstadt LRM 37 0 0 09 May 2025
Model Connectomes: A Generational Approach to Data-Efficient Language Models Klemen Kotar Greta Tuckute 49 0 0 29 Apr 2025
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora Alex Warstadt Aaron Mueller Leshem Choshen E. Wilcox Chengxu Zhuang ... Rafael Mosquera Bhargavi Paranjape Adina Williams Tal Linzen Ryan Cotterell 38 107 0 10 Apr 2025
Pretraining Language Models for Diachronic Linguistic Change Discovery Elisabeth Fittschen Sabrina Li Tom Lippincott Leshem Choshen Craig Messner 26 0 0 07 Apr 2025
A Distributional Perspective on Word Learning in Neural Language Models Filippo Ficarra Ryan Cotterell Alex Warstadt 46 1 0 09 Feb 2025
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Raj Sanjay Shah Sashank Varma LRM 89 0 0 22 Jan 2025
BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Akari Haga Akiyo Fukatsu Miyu Oba Arianna Bisazza Yohei Oseki 27 1 0 14 Nov 2024
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities Zheyuan Zhang Fengyuan Hu Jayjun Lee Freda Shi Parisa Kordjamshidi Joyce Chai Ziqiao Ma 51 11 0 22 Oct 2024
A Review of the Applications of Deep Learning-Based Emergent Communication Brendon Boldt David R. Mortensen VLM 27 6 0 03 Jul 2024
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs Ekaterina Taktasheva Maxim Bazhukov Kirill Koncha Alena Fenogenova Ekaterina Artemova Vladislav Mikhailov 37 9 0 27 Jun 2024
Do Large Language Models Exhibit Cognitive Dissonance? Studying the Difference Between Revealed Beliefs and Stated Answers Manuel Mondal Ljiljana Dolamic Gérôme Bovet Philippe Cudré-Mauroux Julien Audiffren 36 2 0 21 Jun 2024
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence Abhinav Patil Jaap Jumelet Yu Ying Chiu Andy Lapastora Peter Shen Lexie Wang Clevis Willrich Shane Steinert-Threlkeld 27 13 0 24 May 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 66 3 0 24 May 2024
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations Ziqiao Ma Zekun Wang Joyce Chai 50 2 0 22 May 2024
Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Vittoria Dentella Fritz Guenther Evelina Leivada ELM 38 1 0 23 Apr 2024
Acquiring Linguistic Knowledge from Multimodal Input Theodor Amariucai Alexander Scott Warstadt CLL 29 2 0 27 Feb 2024
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes Chengxu Zhuang Evelina Fedorenko Jacob Andreas 20 10 0 20 Oct 2023
Language acquisition: do children and language models follow similar learning stages? Linnea Evanson Yair Lakretz J. King 17 26 0 06 Jun 2023
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction Kyle Mahowald 22 24 0 29 Jan 2023
Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus Alex Warstadt Leshem Choshen Aaron Mueller Adina Williams Ethan Gotlieb Wilcox Chengxu Zhuang 19 54 0 27 Jan 2023
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 25 209 0 16 Jan 2023
A Solvable Model of Neural Scaling Laws A. Maloney Daniel A. Roberts J. Sully 29 51 0 30 Oct 2022
Word Acquisition in Neural Language Models Tyler A. Chang Benjamin Bergen 27 39 0 05 Oct 2021
Transformers Generalize Linearly Jackson Petty Robert Frank AI4CE 210 16 0 24 Sep 2021
Does Vision-and-Language Pretraining Improve Lexical Grounding? Tian Yun Chen Sun Ellie Pavlick VLM CoGe 32 32 0 21 Sep 2021
Generative Spoken Language Modeling from Raw Audio Kushal Lakhotia Evgeny Kharitonov Wei-Ning Hsu Yossi Adi Adam Polyak ... Tu Nguyen Jade Copet Alexei Baevski A. Mohamed Emmanuel Dupoux AuLLM 177 336 0 01 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 258 346 0 01 Feb 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 408 2,584 0 03 Sep 2019