SolidCoder bridges the mental-reality gap in LLM code generation via forced edge-case awareness and concrete sandbox execution, reaching 95.7% pass@1 on HumanEval, 77.0% on CodeContests, and 26.7% on APPS.
The proposed test cases use lists containingfloat(’nan’)andfloat(’inf’), which are valid float values in Python
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SolidCoder: Bridging the Mental-Reality Gap in LLM Code Generation through Concrete Execution
SolidCoder bridges the mental-reality gap in LLM code generation via forced edge-case awareness and concrete sandbox execution, reaching 95.7% pass@1 on HumanEval, 77.0% on CodeContests, and 26.7% on APPS.