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CMD: a framework for Context-aware Model self-Detoxification
v1v2 (latest)

CMD: a framework for Context-aware Model self-Detoxification

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
16 August 2023
Zecheng Tang
Keyan Zhou
Juntao Li
Yuyang Ding
Pinzheng Wang
Bowen Yan
Minzhang
    MU
ArXiv (abs)PDFHTML

Papers citing "CMD: a framework for Context-aware Model self-Detoxification"

4 / 4 papers shown
KOTOX: A Korean Toxic Dataset for Deobfuscation and Detoxification
KOTOX: A Korean Toxic Dataset for Deobfuscation and Detoxification
Yejin Lee
Su-Hyeon Kim
Hyundong Jin
Dayoung Kim
Yeonsoo Kim
Yo-Sub Han
108
0
0
13 Oct 2025
Reveal and Release: Iterative LLM Unlearning with Self-generated Data
Reveal and Release: Iterative LLM Unlearning with Self-generated Data
Linxi Xie
Xin Teng
Shichang Ke
Hongyi Wen
Shengjie Wang
MU
166
0
0
18 Sep 2025
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
T. Klein
Moin Nabi
352
2
0
16 Jan 2024
Enhancing Psychological Counseling with Large Language Model: A
  Multifaceted Decision-Support System for Non-Professionals
Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals
Guanghui Fu
Qing Zhao
Jianqiang Li
Dan Luo
Changwei Song
...
Fan Wang
Yan Wang
Lijuan Cheng
Juan Zhang
B. Yang
OffRL
233
43
0
29 Aug 2023
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