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
On 434 expert-audited real LLM translations, SIV attains the top AUC, uniquely detects and grades expert-labeled major errors, and abstains, rather than mis-scoring, on out-of-vocabulary translations.
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
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