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Models in the Loop: Aiding Crowdworkers with Generative Annotation
  Assistants

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants

16 December 2021
Max Bartolo
Tristan Thrush
Sebastian Riedel
Pontus Stenetorp
Robin Jia
Douwe Kiela
ArXivPDFHTML

Papers citing "Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants"

13 / 13 papers shown
Title
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse
  Harms in Text-to-Image Generation
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
Jessica Quaye
Alicia Parrish
Oana Inel
Charvi Rastogi
Hannah Rose Kirk
...
Nathan Clement
Rafael Mosquera
Juan Ciro
Vijay Janapa Reddi
Lora Aroyo
31
7
0
14 Feb 2024
Power-up! What Can Generative Models Do for Human Computation Workflows?
Power-up! What Can Generative Models Do for Human Computation Workflows?
Garrett Allen
Gaole He
U. Gadiraju
36
3
0
05 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
32
2
0
23 May 2023
Discovering Language Model Behaviors with Model-Written Evaluations
Discovering Language Model Behaviors with Model-Written Evaluations
Ethan Perez
Sam Ringer
Kamilė Lukošiūtė
Karina Nguyen
Edwin Chen
...
Danny Hernandez
Deep Ganguli
Evan Hubinger
Nicholas Schiefer
Jared Kaplan
ALM
20
358
0
19 Dec 2022
A Human-ML Collaboration Framework for Improving Video Content Reviews
A Human-ML Collaboration Framework for Improving Video Content Reviews
Meghana Deodhar
Xiao Ma
Yixin Cai
Alex Koes
Alex Beutel
Jilin Chen
29
3
0
18 Oct 2022
Variability Matters : Evaluating inter-rater variability in
  histopathology for robust cell detection
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
Cholmin Kang
C. Lee
Heon Song
M. Ma
Sérgio Pereira
21
5
0
11 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Tanay Dixit
Bhargavi Paranjape
Hannaneh Hajishirzi
Luke Zettlemoyer
SyDa
140
23
0
10 Oct 2022
Adversarial Training for High-Stakes Reliability
Adversarial Training for High-Stakes Reliability
Daniel M. Ziegler
Seraphina Nix
Lawrence Chan
Tim Bauman
Peter Schmidt-Nielsen
...
Noa Nabeshima
Benjamin Weinstein-Raun
D. Haas
Buck Shlegeris
Nate Thomas
AAML
30
59
0
03 May 2022
WANLI: Worker and AI Collaboration for Natural Language Inference
  Dataset Creation
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
50
211
0
16 Jan 2022
Analyzing Dynamic Adversarial Training Data in the Limit
Analyzing Dynamic Adversarial Training Data in the Limit
Eric Wallace
Adina Williams
Robin Jia
Douwe Kiela
198
30
0
16 Oct 2021
Tailor: Generating and Perturbing Text with Semantic Controls
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
136
77
0
15 Jul 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
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
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