Learning the meanings of function words from grounded language using a
visual question answering model

Learning the meanings of function words from grounded language using a visual question answering model

16 August 2023

Michael C. Frank

Dan Jurafsky

Papers citing "Learning the meanings of function words from grounded language using a visual question answering model"

8 / 8 papers shown

Title
A Distributional Perspective on Word Learning in Neural Language Models Filippo Ficarra Ryan Cotterell Alex Warstadt 54 1 0 09 Feb 2025
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations Ziqiao Ma Zekun Wang Joyce Chai 58 2 0 22 May 2024
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling Chengxu Zhuang Evelina Fedorenko Jacob Andreas 32 2 0 21 Mar 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 22 10 0 20 Oct 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 325 4,077 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 367 8,495 0 28 Jan 2022
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014