activity
20112023
most citedA very preliminary analysis of DALL-E 2

90 citations · 228 across the 19 of their papers we have counts for

collaborators

19 papers

cs.AI2023★ 9 cited

Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems

Ernest Davis, Scott Aaronson

This report describes a test of the large language model GPT-4 with the Wolfram Alpha and the Code Interpreter plug-ins on 105 original problems in science and math, at the high sc…

cs.AI2023★ 6 cited

Benchmarks for Automated Commonsense Reasoning: A Survey

Ernest Davis

More than one hundred benchmarks have been developed to test the commonsense knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems. However, these b…

cs.AI2023★ 9 cited

Mathematics, word problems, common sense, and artificial intelligence

Ernest Davis

The paper discusses the capacities and limitations of current artificial intelligence (AI) technology to solve word problems that combine elementary knowledge with commonsense reas…

cs.AI2022★ 41 cited

Limits of an AI program for solving college math problems

Ernest Davis

Drori et al. (2022) report that "A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level ... [It] automa…

cs.CV2022★ 90 cited

A very preliminary analysis of DALL-E 2

Gary Marcus, Ernest Davis, Scott Aaronson

The DALL-E 2 system generates original synthetic images corresponding to an input text as caption. We report here on the outcome of fourteen tests of this system designed to assess…

cs.CL2022

Pragmatic constraints and pronoun reference disambiguation: the possible and the impossible

Ernest Davis

Pronoun disambiguation in understanding text and discourse often requires the application of both general pragmatic knowledge and context-specific information. In AI and linguistic…