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Shuvendu K. Lahiri

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Book Open access Oct 2026

Intent Formalization: Assessing the Quality of AI-Generated Formal Program Specifications (Keynote)

Agentic AI systems can now produce fluent code, but the core question persists: does the code reflect the user's actual intent? The long-standing gap between informal natural-language requirements and precise program behavior—the intent gap—is magnified by AI-generated code. The path to reliability runs through intent...

Shuvendu K. Lahiri · 0 citations
#software testing Review Aug 2026

Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning

Neuro-formal verification is introduced, which harnesses that automation for developers of mainstream programming languages and returns a Dafny proof of correctness or of a bug on 57% of the entries at 92% precision, and a CBMC counterexample for 63% of the buggy programs at 90% precision.

Shuvendu K. Lahiri · 0 citations

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