Author

Amril Nazir

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Preprint Sep 2026

VisionPsy-Nano: Improving Accuracy, Efficiency, and Reliability in On-Device Vision-Language Models

Sub-billion-parameter Vision-Language Models are increasingly viable for on-device deployment, yet compact model size alone does not guarantee usability. On a phone, such a model can still require more than two minutes to produce its first token. On-device usability depends on three axes: accuracy, efficiency, and beha...

Khurram Azeem Hashmi, M. Zolfaghari, Changdae Park et al. · 0 citations

#artificial intelligence Preprint Sep 2026

QVAC Genesis III: A Large-Scale, High-Quality Open Synthetic STEM Corpus for Efficient Language Model Pre-Training

This work introduces QVAC Genesis III, a 191.43B-token, STEM-focused multi-domain synthetic corpus covering 19 domains across several difficulty levels and different educational styles, and introduces an LLM-as-a-parser evaluation protocol that extracts final answers from free-form outputs and tracks both accuracy and...

Davide Vitabile, N. Ranjan, Akshay Nambiar et al. · 0 citations

#small language model Preprint Aug 2026

TranslatePsy-AfriSLM: High-Quality Data Scaling For Low-Resource Machine Translation

This paper introduces *TranslatePsy-AfriSLM*, a collection of open-source MT resources for 19 Sub-Saharan African languages, including curated parallel data, African-specialized synthetic data, and a family of fine-tuned SLMs.

Milan Gritta, Patrik Lambert, Jihye Back et al. · 0 citations