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20242026
most citedEnhancing Automated Loop Invariant Generation for Complex Programs with Large Language Models

1 citations · 2 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

TIPCODER: Reinforcement Learning Boosted Test-time Instruction Proposer for Code Generation

Minyu Chen, Sihao Wu, Ling-I Wu +5

Test-time scaling for code generation typically explores the solution space by sampling multiple programs from a fixed instruction. We study a complementary direction: instance-lev…

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

ARCEAK: An Automated Rule Checking Framework Enhanced with Architectural Knowledge

Junyong Chen, Ling-I Wu, Minyu Chen +4

Automated Rule Checking (ARC) plays a crucial role in advancing the construction industry by addressing the laborious, inconsistent, and error-prone nature of traditional model rev…

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.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…