ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.08303
  4. Cited By
Efficient Toxic Content Detection by Bootstrapping and Distilling Large
  Language Models

Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models

13 December 2023
Jiang Zhang
Qiong Wu
Yiming Xu
Cheng Cao
Zheng Du
Konstantinos Psounis
ArXiv (abs)PDFHTML

Papers citing "Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models"

3 / 3 papers shown
Title
A Data-Centric Approach for Safe and Secure Large Language Models against Threatening and Toxic Content
A Data-Centric Approach for Safe and Secure Large Language Models against Threatening and Toxic Content
Chaima Njeh
Haïfa Nakouri
Fehmi Jaafar
56
0
0
19 Apr 2025
Precise Parameter Localization for Textual Generation in Diffusion Models
Precise Parameter Localization for Textual Generation in Diffusion Models
Łukasz Staniszewski
Bartosz Cywiński
Franziska Boenisch
Kamil Deja
Adam Dziedzic
DiffM
473
1
0
17 Feb 2025
Towards Efficient and Explainable Hate Speech Detection via Model
  Distillation
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
Paloma Piot
Javier Parapar
200
168
0
18 Dec 2024
1