activity
20192023
most citedLarger language models do in-context learning differently

100 citations · 243 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 7 cited

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification

Jerry Wei, Arief Suriawinata, Bing Ren +10

Applying curriculum learning requires both a range of difficulty in data and a method for determining the difficulty of examples. In many tasks, however, satisfying these requireme…

cs.HC2020★ 20 cited

Adapting Security Warnings to Counter Online Disinformation

Ben Kaiser, Jerry Wei, Eli Lucherini +3

Disinformation is proliferating on the internet, and platforms are responding by attaching warnings to content. There is little evidence, however, that these warnings help users id…

cs.CL2020★ 3 cited

NewB: 200,000+ Sentences for Political Bias Detection

Jerry Wei

We present the Newspaper Bias Dataset (NewB), a text corpus of more than 200,000 sentences from eleven news sources regarding Donald Trump. While previous datasets have labeled sen…

cs.CL2020★ 27 cited

What Are People Asking About COVID-19? A Question Classification Dataset

Jerry Wei, Chengyu Huang, Soroush Vosoughi +1

We present COVID-Q, a set of 1,690 questions about COVID-19 from 13 sources, which we annotate into 15 question categories and 207 question clusters. The most common questions in o…

cs.CV2020★ 2 cited

Difficulty Translation in Histopathology Images

Jerry Wei, Arief Suriawinata, Xiaoying Liu +5

The unique nature of histopathology images opens the door to domain-specific formulations of image translation models. We propose a difficulty translation model that modifies color…