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Ryan Brown

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#natural language process... Preprint Sep 2026

Settle: Learning When to Stop Reasoning

Settle extends the accuracy-token-count Pareto frontier of the evaluated stopping methods and predicts whether a correct answer will remain correct in completed traces.

Ryan Brown, Zi-Hao Fu, Chris Russell · 0 citations

Adaptive Calibration for Fair and Performant Facial Recognition

Adaptive Calibration is introduced, a novel calibration strategy for facial recognition that maps cosine similarity between normalized embeddings to well-calibrated probabilities and provides a practical solution for equitable facial recognition without requiring demographic group annotations.

Ryan Brown, Chris Russell · 0 citations
Jun 2026

The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning

It is found that safety outcomes are highly sensitive to both the choice of fine-tuning language and the evaluation language, with adversarial compliance rates increasing four-fold in some settings.

Will Hawkins, Kai Rawal, Jonathan Rystrøm et al. · 0 citations

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