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Yong-Xin Deng

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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
Book Open access Aug 2026

Training a Generalist Hallucination Detector across Multiple Domains via Adaptive Layer Aggregation

Stability-Aware Adaptive Layer Aggregation (SALA) defines a layer-wise instability index computed from the training data, which measures how separability varies across domains and provides an upper bound on the possible separability drop from training to test.

Xinyi Li, Zhen Fang, Yadan Luo et al. · 0 citations

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