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Sakshi Parate

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Open access Aug 2026

Towards Trustworthy Large Language Models

An integrated conceptual frame-work that couples attention- and perturbation-based explainability with lightweight hallucination-detection signals and token-efficient inference strategies is presented, and a set of cross-cutting consistency metrics are instrumented with a set of cross-cutting consistency metrics.

Sakshi Parate, Shreyans Sanyal · 0 citations

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