Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?

17 September 2021

Papers citing "Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?"

7 / 7 papers shown

Title
Does My Representation Capture X? Probe-Ably Deborah Ferreira Julia Rozanova Mokanarangan Thayaparan Marco Valentino André Freitas 33 11 0 12 Apr 2021
Probing Pretrained Language Models for Lexical Semantics Ivan Vulić Edoardo Ponti Robert Litschko Goran Glavaš Anna Korhonen KELM 74 246 0 12 Oct 2020
Pareto Probing: Trading Off Accuracy for Complexity Tiago Pimentel Naomi Saphra Adina Williams Ryan Cotterell 55 60 0 05 Oct 2020
Information-Theoretic Probing with Minimum Description Length Elena Voita Ivan Titov 85 276 0 27 Mar 2020
LayoutLM: Pre-training of Text and Layout for Document Image Understanding Yiheng Xu Minghao Li Lei Cui Shaohan Huang Furu Wei Ming Zhou 135 707 0 31 Dec 2019
Designing and Interpreting Probes with Control Tasks John Hewitt Percy Liang 76 537 0 08 Sep 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 114 1,146 0 23 May 2019