Author

R. Sharma

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#artificial intelligence Preprint Oct 2026

TypedBench: A Benchmark for Calibration, Framing Sensitivity, and Cost in System One Decision Models

System One models output calibrated probabilities over typed answers such as categorical choices, ordinal levels, or binary outcomes, via a non-generative interface. Software can act on these probabilities through thresholds, cost-weighted choices, and escalation rules. Consequently, if these probabilities are miscalib...

Rahul Sharma, Andrew B. Duncan, G. Caron et al. · 0 citations

#artificial intelligence Preprint Jun 2026

From Question-First to Analyst-First: Domain-Expert Skills and Verified Knowledge Compilation for Proactive Enterprise Analytics

This work describes a production analytics system that inverts the interaction model from question-first to analyst-first through two coupled architectural ideas, and gives a formal model and report illustrative single-tenant evidence.

Harmohit Singh, R. Sharma · 0 citations