Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution

8 December 2020

Papers citing "Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution"

5 / 5 papers shown

Title
Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative Judgement Owen Henkel Libby Hills 66 1 0 22 May 2023
Toward More Effective Human Evaluation for Machine Translation Belén Saldías George F. Foster Markus Freitag Qijun Tan 59 11 0 11 Apr 2022
Dynamic Human Evaluation for Relative Model Comparisons Thórhildur Thorleiksdóttir Cédric Renggli Nora Hollenstein Ce Zhang 75 2 0 15 Dec 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? Nikita Nangia Saku Sugawara H. Trivedi Alex Warstadt Clara Vania Sam Bowman 136 36 0 01 Jun 2021
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise Cédric Renggli Luka Rimanic Luka Kolar Wentao Wu Ce Zhang 83 3 0 16 Oct 2020