Introduces SolidityBench benchmark and SolidityScore metric for repository-level Solidity code generation, finding supervised fine-tuning outperforms prompting, CoT, ICL, and RAG methods on evaluated LLMs.
On tokenizing securities in contemporary decentralized finance ecosystems,
2 Pith papers cite this work. Polarity classification is still indexing.
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Develops a 5-component taxonomy with 23 dimensions for RWA tokenization, applies it to 20 market-cap selected systems, and finds predominant hybrid architectures with recurring documentation gaps in voting, disputes, burn mechanics, supply, and reserves.
citing papers explorer
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Repository-Level Solidity Code Generation with Large Language Models: From Prompting to Fine-Tuning
Introduces SolidityBench benchmark and SolidityScore metric for repository-level Solidity code generation, finding supervised fine-tuning outperforms prompting, CoT, ICL, and RAG methods on evaluated LLMs.
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A Taxonomy of Real-World Asset Tokenization for Blockchain-Based Financial Infrastructure
Develops a 5-component taxonomy with 23 dimensions for RWA tokenization, applies it to 20 market-cap selected systems, and finds predominant hybrid architectures with recurring documentation gaps in voting, disputes, burn mechanics, supply, and reserves.