arxiv
PublishedJuly 28, 2026 at 4:00 AM
—neutral
AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation
Publisher summary· verbatim
arXiv:2607.22898v1 Announce Type: cross Abstract: Large language models (LLMs) generate code from natural-language prompts, yet real-world prompts rarely provide complete specifications. When prompts leave input formats, error handling, or design decisions unspecified, LLMs fill these gaps with impl
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Originally published on arxiv ↗