ArXiv TLDR

Serhii Zabolotnii

3 papers · Latest:

Natural Language Processing

TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains

TRACE is a new engineering framework for trustworthy agentic AI in critical domains, featuring a layered architecture, metrological trust metrics, and a parsimony principle.

2605.03838
Natural Language Processing

From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy

This paper proposes a framework for trustworthy clinical AI, integrating evidence, supervision, and staged autonomy to build measurable system trust.

2604.26671
Natural Language Processing

LLM StructCore: Schema-Guided Reasoning Condensation and Deterministic Compilation

LLM StructCore employs a two-stage, schema-guided reasoning and deterministic compilation pipeline for accurate, contract-driven clinical CRF filling.

2604.20560

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