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Changing the World by Changing the Data

Changing the World by Changing the Data

28 May 2021
Anna Rogers
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Papers citing "Changing the World by Changing the Data"

20 / 20 papers shown
Title
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
68
20
0
14 May 2024
Data Authenticity, Consent, & Provenance for AI are all broken: what
  will it take to fix them?
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
Shayne Longpre
Robert Mahari
Naana Obeng-Marnu
William Brannon
Tobin South
Katy Gero
Sandy Pentland
Jad Kabbara
66
5
0
19 Apr 2024
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using
  LLMs
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang
Rishabh Rustogi
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
KELM
38
12
0
14 Oct 2023
Is GPT-3 a Good Data Annotator?
Is GPT-3 a Good Data Annotator?
Bosheng Ding
Chengwei Qin
Linlin Liu
Yew Ken Chia
Chenyu You
Boyang Albert Li
Lidong Bing
26
233
0
20 Dec 2022
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
Katharina Kann
Shiran Dudy
Arya D. McCarthy
25
1
0
30 Nov 2022
Back to the Future: On Potential Histories in NLP
Back to the Future: On Potential Histories in NLP
Zeerak Talat
Anne Lauscher
AI4TS
30
4
0
12 Oct 2022
On the Impossible Safety of Large AI Models
On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
Sébastien Rouault
John Stephan
30
31
0
30 Sep 2022
Lutma: a Frame-Making Tool for Collaborative FrameNet Development
Lutma: a Frame-Making Tool for Collaborative FrameNet Development
Tiago Timponi Torrent
Arthur Lorenzi
E. Matos
Frederico Belcavello
Marcelo Viridiano
Maucha Gamonal
19
1
0
24 May 2022
On the Limitations of Dataset Balancing: The Lost Battle Against
  Spurious Correlations
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
Roy Schwartz
Gabriel Stanovsky
37
26
0
27 Apr 2022
Neural Pipeline for Zero-Shot Data-to-Text Generation
Neural Pipeline for Zero-Shot Data-to-Text Generation
Zdeněk Kasner
Ondrej Dusek
16
33
0
30 Mar 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning
  Models
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon
Michelle S. Lam
J. Park
Kayur Patel
Jeffrey T. Hancock
Tatsunori Hashimoto
Michael S. Bernstein
27
146
0
07 Feb 2022
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic
  benchmarking
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
Ronen Tamari
Kyle Richardson
Aviad Sar-Shalom
Noam Kahlon
Nelson F. Liu
Reut Tsarfaty
Dafna Shahaf
43
5
0
30 Nov 2021
SynthBio: A Case Study in Human-AI Collaborative Curation of Text
  Datasets
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
Ann Yuan
Daphne Ippolito
Vitaly Nikolaev
Chris Callison-Burch
Andy Coenen
Sebastian Gehrmann
SyDa
112
20
0
11 Nov 2021
Just What do You Think You're Doing, Dave?' A Checklist for Responsible
  Data Use in NLP
Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP
Anna Rogers
Timothy Baldwin
Kobi Leins
104
64
0
14 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
171
107
0
17 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
262
374
0
28 Feb 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,824
0
14 Dec 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
220
189
0
03 May 2020
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
618
0
03 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
1