Author

Chance LaVoie

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Jul 2026

Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement

A conformance-checker-driven framework for reliable natural-language-to-SysMLv2 translation that enforces production-level acceptance as the termination condition and converts probabilistic outputs into production-accepted SysMLv2 artifacts suitable for loading, visualization, and engineering use.

Chance LaVoie, Eladio Andujar Lugo, Taylan G. Topcu et al. · arXiv.org · 1 citation

Preprint Aug 2026

Exploring new directions in enhancing the ACTS parameter optimization suite

Track seeding strongly affects both the quality and computational cost of charged-particle reconstruction, yet its many configuration parameters are commonly tuned through expert intuition and repeated trial and error. ACTS reduces this burden with an Optuna Tree-structured Parzen Estimator auto-tuner, but expensive ev...

Chance LaVoie, Qi Lei, Rocky Bala Garg et al. · 0 citations