arXiv (All)
open access
HoarePrompt: Structural Reasoning About Program Correctness in Natural Language
While software requirements are often expressed in natural language, verifying the correctness of a program against such requirements is a hard and underexplored problem. Large language models (LLMs) are promising candidates for addressing this challenge, however our experience shows that they are i
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Improving Large Language Models for Code through Runtime Program-State Reasoning#1119432
- Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning#1084328
- Natural Language based Specification and Verification#178824
- LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs#432595
- When is LLM-Based Program Reasoning Correct? A Completion Semantics for LLM-Based Code Inference#1084289
Record · ID 984837
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive