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20232025
most citedEnhancing Automated Loop Invariant Generation for Complex Programs with Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

DCE-LLM: Dead Code Elimination with Large Language Models

Minyu Chen, Guoqiang Li, Ling-I Wu +1

Dead code introduces several challenges in software development, such as increased binary size and maintenance difficulties. It can also obscure logical errors and be exploited for…

cs.SE2024★ 1 cited

Enhancing Automated Loop Invariant Generation for Complex Programs with Large Language Models

Ruibang Liu, Minyu Chen, Ling-I Wu +2

Automated program verification has always been an important component of building trustworthy software. While the analysis of real-world programs remains a theoretical challenge, t…

cs.AI2024

Can Language Models Pretend Solvers? Logic Code Simulation with LLMs

Minyu Chen, Guoqiang Li, Ling-I Wu +4

Transformer-based large language models (LLMs) have demonstrated significant potential in addressing logic problems. capitalizing on the great capabilities of LLMs for code-related…

cs.SE2024

AC4: Algebraic Computation Checker for Circuit Constraints in ZKPs

Qizhe Yang, Boxuan Liang, Hao Chen +1

Zero-knowledge proof (ZKP) systems have surged attention and held a fundamental role in contemporary cryptography. Zero-knowledge succinct non-interactive argument of knowledge (zk…

cs.FL2023

Data-Flow-Based Normalization Generation Algorithm of R1CS for Zero-Knowledge Proof

Chenhao Shi, Hao Chen, Ruibang Liu +1

The communities of blockchains and distributed ledgers have been stirred up by the introduction of zero-knowledge proofs (ZKPs). Originally designed to solve privacy issues, ZKPs h…