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20242026
most citedDefining and Detecting the Defects of the Large Language Model-based Autonomous Agents

1 citations · 2 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems

Zexun Wang

Agent systems execute through runtimes with very different control points: local coding tools, framework SDKs, managed agent platforms, API gateways, and observer-only integrations…

cs.SE2026

SSR: Safeguarding Staking Rewards by Defining and Detecting Logical Defects in DeFi Staking

Zewei Lin, Jiachi Chen, Jingwen Zhang +4

Decentralized Finance (DeFi) staking is one of the most prominent applications within the DeFi ecosystem, where DeFi projects enable users to stake tokens on the platform and rewar…

cs.SE2025

Copy-and-Paste? Identifying EVM-Inequivalent Code Smells in Multi-chain Reuse Contracts

Zexu Wang, Jiachi Chen, Tao Zhang +4

As the development of Solidity contracts on Ethereum, more developers are reusing them on other compatible blockchains. However, developers may overlook the differences between the…

cs.SE2024★ 1 cited

Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents

Kaiwen Ning, Jiachi Chen, Jingwen Zhang +5

AI agents are systems capable of perceiving their environment, autonomously planning and executing tasks. Recent advancements in LLM have introduced a transformative paradigm for A…

cs.SE2024★ 1 cited

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts

Zexu Wang, Jiachi Chen, Yanlin Wang +3

Reentrancy vulnerability as one of the most notorious vulnerabilities, has been a prominent topic in smart contract security research. Research shows that existing vulnerability de…