Adaptive Matrix Validation calibrates AI-mapped survey responses using sparse randomized validation questions from other respondents then corrects with the target's own answers, with estimators and planning formulas for means, subgroups, and regressions.
Whisper-LM: Improving ASR models with lan- guage models for low-resource languages.arXiv preprint arXiv:2503.23542
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CLD integrates convex optimization and ADMM in JAX to deliver 97-98% accuracy for language detection robust to accents under low-resource conditions, with claimed theoretical stability guarantees.
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When Surveys Become Conversations: Adaptive Matrix Validation for AI-Assisted Interviews
Adaptive Matrix Validation calibrates AI-mapped survey responses using sparse randomized validation questions from other respondents then corrects with the target's own answers, with estimators and planning formulas for means, subgroups, and regressions.
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Convex Low-resource Accent-Robust Language Detection in Speech Recognition
CLD integrates convex optimization and ADMM in JAX to deliver 97-98% accuracy for language detection robust to accents under low-resource conditions, with claimed theoretical stability guarantees.