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20242026
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cs.SE2026

Does It Render Everywhere? A Study of Cross-Environment Compatibility in MLLM-Generated Webpages

Ziyun Guo, Jingyu Xiao, Yuqiang Sun +1

Multimodal Large Language Models (MLLMs) have been increasingly adopted to automate webpage generation from visual designs (e.g., screenshots). However, existing evaluations are li…

cs.SE2026

Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs

Yiran Zhang, Chengwei Liu, Yuqiang Sun +5

Understanding the architecture is crucial for effectively maintaining and managing large software systems. However, discrepancies often exist between the designed and implemented a…

cs.SE2026

From Docs to Descriptions: Smell-Aware Evaluation of MCP Server Descriptions

Peiran Wang, Ying Li, Yuqiang Sun +3

The Model Context Protocol (MCP) has rapidly become a de facto standard for connecting LLM-based agents with external tools via reusable MCP servers. In practice, however, server s…

cs.SE2024

PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation

Ye Liu, Yue Xue, Daoyuan Wu +4

With recent advances in large language models (LLMs), this paper explores the potential of leveraging state-of-the-art LLMs,such as GPT-4, to transfer existing human-written proper…

cs.SE2024

Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Wei Ma, Daoyuan Wu, Yuqiang Sun +5

Smart contracts are decentralized applications built atop blockchains like Ethereum. Recent research has shown that large language models (LLMs) have potential in auditing smart co…