9 Posts

Dataset FOLIO example based on the Wild Turkey Wikipedia page

Language Models Defy Logic: Large NLP models struggle with logical reasoning.

Who would disagree that, if all people are mortal and Socrates is a person, Socrates must be mortal? GPT-3, for one. Recent work shows that bigger language models are not necessarily better when it comes to logical reasoning.
Tax planning model AI Economist

Tax Relief the AI Way: AI Economist creates optimal tax rate.

Nothing is certain except death and taxes, the saying goes — but how to make taxes fair and beneficial remains an open question. New research aims to answer it.
Protein structures

What AI Knows About Proteins: NLP systems can be used to code amino acids.

Transformer models trained on sequences of amino acids that form proteins have had success classifying and generating viable sequences. New research shows that they also capture information about protein structure.
Series of images and graphs related to cancer detection

Shortcut to Cancer Treatment: AI determines breast cancer treatment from H&E stains.

Doctors who treat breast cancer typically use a quick, inexpensive tumor-tissue stain test to diagnose the illness and a slower, more costly one to determine treatment. A new neural network could help doctors to go straight from diagnosis to treatment.
Illustration of a doctor and a nurse

Gender Bender: Double-Hard Debias helps lessen gender bias in NLP models.

AI learns human biases: In word vector space, “man is to computer programmer as woman is to homemaker,” as one paper put it. New research helps language models unlearn such prejudices.
Data related to reinforcement learning and optimization of worker productivity and income equality

Taxation With Vector Representation: A reinforcement learning approach to better tax policy

Governments have struggled to find a tax formula that promotes prosperity without creating extremes of wealth and poverty. Can machine learning show the way?
Richard Socher

Richard Socher — Boiling the Information Ocean: Using AI summarization to help with information overload

Ignorance is a choice in the Internet age. Virtually all of human knowledge is available for the cost of typing a few words into a search box.
Automatically generated text summary from FactCC with misleading facts highlighted in different colors.

Keeping the Facts Straight: NLP system FactCC fact checks texts.

Automatically generated text summaries are becoming common in search engines and news websites. But existing summarizers often mix up facts. For instance, a victim’s name might get switched for the perpetrator’s.
GPT-2 text generator

Putting Text Generators on a Leash

Despite dramatic recent progress, natural language generation remains an iffy proposition. Even users of the muscular GPT-2 text generator have to press the button a number of times to get sensible output. But researchers are figuring out how to exert greater control over generated text.

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