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Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with
  Minimal Impact on Coherence and Evasiveness in Dialogue Agents

Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents

21 May 2024
San Kim
Gary Geunbae Lee
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents"

2 / 2 papers shown
Title
Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions
Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future DirectionsExpert systems with applications (ESWA), 2025
Smita Khapre
Melkamu Mersha
Hassan Shakil
Jonali Baruah
Jugal Kalita
88
1
0
29 Sep 2025
Alchemist: Towards the Design of Efficient Online Continual Learning System
Yuyang Huang
Yuhan Liu
Haryadi S. Gunawi
Beibin Li
Changho Hwang
CLLOnRL
319
1
0
03 Mar 2025
1