Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT

25 July 2024

Papers citing "Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT"

7 / 7 papers shown

Title
Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models Shiran Dudy Thulasi Tholeti R. Ramachandranpillai Muhammad Ali Toby Jia-Jun Li Ricardo Baeza-Yates 24 0 0 16 Mar 2025
Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection Yachao Zhao Bo Wang Yan Wang 48 2 0 04 Jan 2025
A dataset of questions on decision-theoretic reasoning in Newcomb-like problems Caspar Oesterheld Emery Cooper Miles Kodama Linh Chi Nguyen Ethan Perez 34 1 0 15 Nov 2024
BBQ: A Hand-Built Bias Benchmark for Question Answering Alicia Parrish Angelica Chen Nikita Nangia Vishakh Padmakumar Jason Phang Jana Thompson Phu Mon Htut Sam Bowman 212 367 0 15 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 87 101 0 04 Oct 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 245 1,977 0 31 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020