Author

Hilal AlQuabeh

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#machine learning Preprint Sep 2026

Weakening Neurons: An Input-Output Functionality in Transformers with Outsize Influence

The learned input-output behavior of GLU-based neurons in large language models (LLMs) is analyzed and it is found that weakening neurons display surprising behavior: even though there are few, they activate often and have a large influence on model behavior.

Sebastian Gerstner, Hilal AlQuabeh, Kentaro Inui et al. · 0 citations

Jul 2026

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs

A detector-guided self-correction method is proposed that selectively re-prompts the model only when an internal error detector predicts failure, and a simple inference-time intervention improves counting accuracy by up to 15.6 absolute percentage points.

Ahmed Oumar El-Shangiti, Abzal Nurgazy, Hilal AlQuabeh et al. · arXiv.org · 1 citation