From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling

18 May 2025

Papers citing "From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling"

4 / 4 papers shown

Title
Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies Ajwad Abrar Nafisa Tabassum Oeshy Mohsinul Kabir Sophia Ananiadou VLM 85 1 0 14 Jan 2025
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning Franz Nowak Anej Svete Alexandra Butoi Ryan Cotterell ReLM LRM 115 17 0 20 Jun 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages Nadav Borenstein Anej Svete R. Chan Josef Valvoda Franz Nowak Isabelle Augenstein Eleanor Chodroff Ryan Cotterell 116 13 0 06 Jun 2024
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts Benfeng Xu An Yang Junyang Lin Quang Wang Chang Zhou Yongdong Zhang Zhendong Mao ALM 124 142 0 24 May 2023