Adding Instructions during Pretraining: Effective Way of Controlling Toxicity in Language Models

14 February 2023

Papers citing "Adding Instructions during Pretraining: Effective Way of Controlling Toxicity in Language Models"

6 / 6 papers shown

Title
CMD: a framework for Context-aware Model self-Detoxification Zecheng Tang Keyan Zhou Juntao Li Yuyang Ding Pinzheng Wang Bowen Yan Minzhang MU 23 5 0 16 Aug 2023
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 306 11,909 0 04 Mar 2022
Challenges in Detoxifying Language Models Johannes Welbl Amelia Glaese J. Uesato Sumanth Dathathri John F. J. Mellor Lisa Anne Hendricks Kirsty Anderson Pushmeet Kohli Ben Coppin Po-Sen Huang LM&MA 242 193 0 15 Sep 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 248 1,986 0 31 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,817 0 17 Sep 2019