Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases

15 December 2021

Papers citing "Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases"

7 / 7 papers shown

Title
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks Nikil Selvam Sunipa Dev Daniel Khashabi Tushar Khot Kai-Wei Chang ALM 11 25 0 18 Oct 2022
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages Thomas Mandl Sandip J Modha Gautam Kishore Shahi Prasenjit Majumder Mohana Dave Daksh Patel Chintak Mandalia Aditya Patel 91 172 0 12 Aug 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
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,311 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 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 1,815 0 17 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,576 0 03 Sep 2019