Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models

14 March 2023

Papers citing "Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models"

6 / 6 papers shown

Title
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation Samuel Cognolato Alberto Testolin 26 7 0 06 Jul 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 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 315 8,261 0 28 Jan 2022
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model Kuntal Kumar Pal Chitta Baral 73 18 0 10 Sep 2021
PonderNet: Learning to Ponder Andrea Banino Jan Balaguer Charles Blundell PINN AIMat 92 80 0 12 Jul 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules Segwang Kim Hyoungwook Nam Joonyoung Kim Kyomin Jung NAI 44 10 0 13 Jan 2021