Same Same, But Different: Conditional Multi-Task Learning for
Demographic-Specific Toxicity Detection

Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection

14 February 2023

Soumyajit Gupta

Maria De-Arteaga

Matthew Lease

Papers citing "Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection"

8 / 8 papers shown

Title
Voices in a Crowd: Searching for Clusters of Unique Perspectives Nikolas Vitsakis Amit Parekh Ioannis Konstas 36 0 0 19 Jul 2024
Hate Speech Detection with Generalizable Target-aware Fairness Tong Chen Danny Wang Xurong Liang Marten Risius Gianluca Demartini Hongzhi Yin 27 3 0 28 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
Algorithmic Fairness: A Tolerance Perspective Renqiang Luo Tao Tang Feng Xia Jiaying Liu Chengpei Xu Leo Yu Zhang Wei Xiang Chengqi Zhang FaML 71 0 0 26 Apr 2024
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 28 10 0 15 Oct 2023
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting Tilman Beck Hendrik Schuff Anne Lauscher Iryna Gurevych 35 32 0 13 Sep 2023
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI Houjiang Liu Anubrata Das Alexander Boltz Didi Zhou Daisy Pinaroc Matthew Lease Min Kyung Lee HAI 25 16 0 14 Aug 2023
Mitigating Label Bias via Decoupled Confident Learning Yunyi Li Maria De-Arteaga M. Saar-Tsechansky 16 0 0 18 Jul 2023