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National University of Singapore

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#artificial intelligence Preprint Sep 2026

OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy Learning

OmniHarness is introduced, a framework for generalizable visual generation via symbolic policy learning that abstracts verified executions into symbolic policies for visual generation task families, capturing shared procedures and applicability conditions while removing instance-specific inputs.

Xun Xu, Jin-Xiu Liu, Zhang-Bo Qiao et al. · 1 citation

#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