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M. University

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#artificial intelligence Preprint Aug 2024

BTBR: A Bayesian-Theory-Driven Probabilistic-Fuzzy Framework for Implicit Bias Removal in Large Language Models

Results demonstrate that combining probabilistic evidence with fuzzy degree modeling provides an effective and practical approach for mitigating implicit bias in large language models and Bayesian-Theory-based Bias Removal (BTBR) consistently reduces persona-induced performance gaps while preserving general reasoning a...

Yong-Xin Deng, Xiao-Yu Tan, Jing Pan et al. · 4 citations
Preprint Open access Aug 2026

Digital State Capacity

A new measure of government ICT capacity based on an observable stock of deployable public-sector network infrastructure: public IPv4 address space held by government organisations, which is associated with higher-quality governance and publicservice outcomes in the expected directions.

Patrick Healy, S. Angus, P. Raschky et al. · 0 citations

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