Author

Md. Kamrul Hasan

3 papers indexed here

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#computer vision Aug 2025

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation

Sign Parameter-Infused (SPI) prompting is introduced, which integrates standard SL parameters, like hand shape, motion, and orientation, directly into the textual prompts, which makes the instructions more structured and reproducible than free-form natural text from vanilla prompting.

Md. Tariquzzaman, Md Farhan Ishmam, Saiyma Sittul Muna et al. · arXiv.org · 3 citations

#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