Large Language Model Bias Mitigation from the Perspective of Knowledge Editing

15 May 2024

Papers citing "Large Language Model Bias Mitigation from the Perspective of Knowledge Editing"

7 / 7 papers shown

Title
Calibrating Factual Knowledge in Pretrained Language Models Qingxiu Dong Damai Dai Yifan Song Jingjing Xu Zhifang Sui Lei Li KELM 219 81 0 07 Oct 2022
A Study of the Attention Abnormality in Trojaned BERTs Weimin Lyu Songzhu Zheng Teng Ma Chao Chen 44 53 0 13 May 2022
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 219 254 0 21 Oct 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 254 374 0 28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 208 121 0 23 Jan 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 393 2,216 0 03 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018