Unveiling the Implicit Toxicity in Large Language Models

Unveiling the Implicit Toxicity in Large Language Models

29 November 2023

Papers citing "Unveiling the Implicit Toxicity in Large Language Models"

8 / 8 papers shown

Title
A Comprehensive Analysis of Large Language Model Outputs: Similarity, Diversity, and Bias Brandon Smith Mohamed Reda Bouadjenek Tahsin Alamgir Kheya Phillip Dawson S. Aryal ALM ELM 26 0 0 14 May 2025
An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki Boyi Wei Yangsibo Huang Peter Henderson F. Tramèr Javier Rando MU AAML 73 32 0 26 Sep 2024
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models Rima Hazra Sayan Layek Somnath Banerjee Soujanya Poria KELM 34 17 0 19 Jan 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 319 11,953 0 04 Mar 2022
Can Machines Learn Morality? The Delphi Experiment Liwei Jiang Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jenny T Liang ... Yulia Tsvetkov Oren Etzioni Maarten Sap Regina A. Rini Yejin Choi FaML 127 111 0 14 Oct 2021
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech Mai Elsherief Caleb Ziems D. Muchlinski Vaishnavi Anupindi Jordyn Seybolt M. D. Choudhury Diyi Yang 103 236 0 11 Sep 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,815 0 14 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 417 2,588 0 03 Sep 2019