Author

Syed Rifat Raiyan

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#artificial intelligence May 2026

LLM-Ideoplasticity: Measuring Ideological Plasticity in the Political Behavior of LLMs as a Context-Conditioned Distribution

We argue, with systematic empirical evidence, that a large language model's political ideology is not a fixed point, but a conditional distribution $\mathbb{P}($position$\mid$context$)$ over a real political space. We evaluate nine current LLMs using a unified measurement framework anchored by VAA-CHES projection model...

Adib Sakhawat, Syed Rifat Raiyan, T. Islam et al. · arXiv.org · 0 citations

2026

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models

This work introduces a transparent SAE-feature steering pipeline that first applies a six-condition reliability filter, then ranks sparse features through an unweighted Borda consensus over three complementary statistics: F -test, KSG mutual information, and Cohen's d .

Oshayer Siddique, J. M. A. U. Alam, M. Rafy et al. · arXiv.org · 0 citations