Author

Ali Emami

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#machine learning Preprint Sep 2026

Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports

Converting free-text radiology reports into structured labels supports cohort building, quality assurance, and monitoring of clinical imaging models, but the strongest label extractors are hosted proprietary models whose use raises privacy, cost, and reproducibility concerns. We asked whether a fine-tuned open-weight m...

Aawez Mansuri, Kush Mehta, Mohammadreza Chavoshi et al. · 0 citations

Jul 2026

What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectors

This work presents the first systematic application of persona vectors at this scale, compiling a 53-trait inventory across four behaviorally distinct domains and labeling every trait in two open-weight models as natural, steerable latent but amplifiable, or intractable (resistant to standard extraction).

W. Zeng, Ali Emami, Jinho D. Choi · arXiv.org · 0 citations