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MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance

MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance

20 May 2025
Agam Goyal
Xianyang Zhan
Yilun Chen
Koustuv Saha
Eshwar Chandrasekharan
    MoE
ArXiv (abs)PDFHTML

Papers citing "MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance"

4 / 4 papers shown
Title
LLM-C3MOD: A Human-LLM Collaborative System for Cross-Cultural Hate Speech Moderation
Junyeong Park
Seogyeong Jeong
Siyang Song
Yohan Lee
Alice Oh
106
1
0
10 Mar 2025
Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models
Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models
Konstantina Palla
José Luis Redondo García
C. Hauff
Francesco Fabbri
Henrik Lindström
Daniel R. Taber
Andreas Damianou
M. Lalmas
AILaw
115
1
0
25 Feb 2025
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
Zhuoyan Li
Hangxiao Zhu
Zhuoran Lu
Ziang Xiao
Ming Yin
110
1
0
17 Feb 2025
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Xianyang Zhan
Agam Goyal
Yilun Chen
Eshwar Chandrasekharan
Koustuv Saha
AI4MH
442
5
0
17 Oct 2024
1