Extending Machine Language Models toward Human-Level Language
Understanding

Extending Machine Language Models toward Human-Level Language Understanding

12 December 2019

James L. McClelland

Maja R. Rudolph

Jason Baldridge

Hinrich Schütze

Papers citing "Extending Machine Language Models toward Human-Level Language Understanding"

9 / 9 papers shown

Title
Cognitive Architectures for Language Agents T. Sumers Shunyu Yao Karthik Narasimhan Thomas L. Griffiths LLMAG LM&Ro 36 151 0 05 Sep 2023
Shades of meaning: Uncovering the geometry of ambiguous word representations through contextualised language models Benedetta Cevoli C. Watkins Yang Gao K. Rastle 19 3 0 26 Apr 2023
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World Rowan Zellers Ari Holtzman Matthew E. Peters Roozbeh Mottaghi Aniruddha Kembhavi Ali Farhadi Yejin Choi 16 68 0 01 Jun 2021
Where Are You? Localization from Embodied Dialog Meera Hahn Jacob Krantz Dhruv Batra Devi Parikh James M. Rehg Stefan Lee Peter Anderson LM&Ro 8 27 0 16 Nov 2020
Word meaning in minds and machines Brenden Lake G. Murphy NAI 15 117 0 04 Aug 2020
Probing Contextual Language Models for Common Ground with Visual Representations Gabriel Ilharco Rowan Zellers Ali Farhadi Hannaneh Hajishirzi 22 14 0 01 May 2020
Experience Grounds Language Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio ... Angeliki Lazaridou Jonathan May Aleksandr Nisnevich Nicolas Pinto Joseph P. Turian 19 350 0 21 Apr 2020
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 294 6,950 0 20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016