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Ahmad Pouramini

2 papers indexed

arxivcs.CLcs.AI2026-07-22

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models

Ahmad Pouramini, Mahsa Afsharzadeh

Large-scale pretrained language models such as T5 and BERT have demonstrated strong capabilities for generating structured knowledge. However, their performance depends on how closely the prompting strategy matches the objectives used during pretraining. We introduce the Maskabil…

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arxivcs.CLcs.AI2026-07-22

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning

Ahmad Pouramini, Mahsa Afsharizadeh

This paper introduces Sentence Splitter, a self-supervised framework built upon a T5-based encoder--decoder architecture for uncovering the latent factual structure of natural language sentences. The proposed method identifies the semantic boundary between a descriptive prefix (h…

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