Stale repository context in code RAG actively induces models to produce obsolete helper references, raising stale outputs by 76-88 percentage points over current-only retrieval in a 17-sample diagnostic study.
Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware
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A study of seven LLMs finds that realistic prompt variations such as one-character misspellings trigger library hallucinations in up to 26% of cases, fabricated names in up to 99%, and time-based prompts in up to 85%, and introduces LibHalluBench for evaluation.
Static analysis tools detect 14-85% of library hallucinations in LLM code but are limited to at most 48.5-77% coverage even in ideal cases.
citing papers explorer
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When Retrieval Hurts Code Completion: A Diagnostic Study of Stale Repository Context
Stale repository context in code RAG actively induces models to produce obsolete helper references, raising stale outputs by 76-88 percentage points over current-only retrieval in a 17-sample diagnostic study.
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Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries
A study of seven LLMs finds that realistic prompt variations such as one-character misspellings trigger library hallucinations in up to 26% of cases, fabricated names in up to 99%, and time-based prompts in up to 85%, and introduces LibHalluBench for evaluation.
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An Empirical Analysis of Static Analysis Methods for Detection and Mitigation of Code Library Hallucinations
Static analysis tools detect 14-85% of library hallucinations in LLM code but are limited to at most 48.5-77% coverage even in ideal cases.