Logical Tasks for Measuring Extrapolation and Rule Comprehension

14 November 2022

Papers citing "Logical Tasks for Measuring Extrapolation and Rule Comprehension"

9 / 9 papers shown

Title
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks Yixuan Weng Minjun Zhu Fei Xia Bin Li Shizhu He Kang Liu Jun Zhao 20 4 0 04 Apr 2023
Language Model Behavior: A Comprehensive Survey Tyler A. Chang Benjamin Bergen VLM LRM LM&MA 27 100 0 20 Mar 2023
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models Alberto Testolin AIMat 17 19 0 14 Mar 2023
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation Samuel Cognolato Alberto Testolin 23 7 0 06 Jul 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
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 33 102 0 18 Oct 2021
PonderNet: Learning to Ponder Andrea Banino Jan Balaguer Charles Blundell PINN AIMat 92 80 0 12 Jul 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020