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Toxicity Detection with Generative Prompt-based Inference

Toxicity Detection with Generative Prompt-based Inference

24 May 2022
Yau-Shian Wang
Y. Chang
ArXivPDFHTML

Papers citing "Toxicity Detection with Generative Prompt-based Inference"

11 / 11 papers shown
Title
Towards Efficient and Explainable Hate Speech Detection via Model
  Distillation
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
Paloma Piot
Javier Parapar
83
173
0
18 Dec 2024
Vulnerability of LLMs to Vertically Aligned Text Manipulations
Vulnerability of LLMs to Vertically Aligned Text Manipulations
Zhecheng Li
Y. Wang
Bryan Hooi
Yujun Cai
Zhen Xiong
Nanyun Peng
Kai-Wei Chang
53
1
0
26 Oct 2024
LLMScan: Causal Scan for LLM Misbehavior Detection
LLMScan: Causal Scan for LLM Misbehavior Detection
Mengdi Zhang
Kai Kiat Goh
Peixin Zhang
Jun Sun
Rose Lin Xin
Hongyu Zhang
23
0
0
22 Oct 2024
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
Hyunbyung Park
Sukyung Lee
Gyoungjin Gim
Yungi Kim
Dahyun Kim
Chanjun Park
VLM
42
0
0
28 Mar 2024
Deep Prompt Multi-task Network for Abuse Language Detection
Deep Prompt Multi-task Network for Abuse Language Detection
Jian Zhu
Yuping Ruan
Jingfei Chang
Wenhui Sun
Hui Wan
Jian Long
Cheng Luo
AAML
16
1
0
08 Mar 2024
Efficient Toxic Content Detection by Bootstrapping and Distilling Large
  Language Models
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models
Jiang Zhang
Qiong Wu
Yiming Xu
Cheng Cao
Zheng Du
Konstantinos Psounis
33
14
0
13 Dec 2023
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications
  with Programmable Rails
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
Traian Rebedea
R. Dinu
Makesh Narsimhan Sreedhar
Christopher Parisien
Jonathan Cohen
KELM
19
132
0
16 Oct 2023
A Comparison of Approaches for Imbalanced Classification Problems in the
  Context of Retrieving Relevant Documents for an Analysis
A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysis
Sandra Wankmüller
28
2
0
03 May 2022
Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
Chujie Zheng
Minlie Huang
59
44
0
14 Sep 2021
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Yumao Lu
Zicheng Liu
Lijuan Wang
180
402
0
10 Sep 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
259
374
0
28 Feb 2021
1