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Author

Akshat Agarwal

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#artificial intelligence Preprint Oct 2026

AegisVox: Factorized Privacy and Clinical Preservation for Long-Form Speech

Clinical speech reveals identity through both spoken identifiers and voice, yet its pauses, delivery, and speaker roles can also carry useful clinical evidence. Protecting that speech therefore requires more than preserving its words. We present AegisVox, a factorized framework that assigns consistent surrogate voices...

Praphul Singh, Akshat Agarwal, Ratul Ghosh et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ContractEval: Query-Conditioned Execution Matching for Procedural Instruction Conformance

ContacTEVAL is a diagnostic framework for making procedural conformance auditable rather than implicit in final-answer quality, turning omissions, wrong branches, ordering errors, extra actions, invariant breaches, and output-contract violations into distinct conformance failures.

Praphul Singh, Shanu Kumar, Akshat Agarwal et al. · 0 citations

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