A finite-state-machine intermediate representation, fine-tuning, and compilation and security feedback improve LLM-generated smart contract compilation rates and lower vulnerability scores on a synthetic benchmark.
Structured chain-of-thought prompting for code genera- tion
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Guiding LLM-based Smart Contract Generation with Finite State Machine
A finite-state-machine intermediate representation, fine-tuning, and compilation and security feedback improve LLM-generated smart contract compilation rates and lower vulnerability scores on a synthetic benchmark.