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of 827
pro vyhledávání: '"Zheng, Zibin"'
Large language models (LLMs) have brought a paradigm shift to the field of code generation, offering the potential to enhance the software development process. However, previous research mainly focuses on the accuracy of code generation, while coding
Externí odkaz:
http://arxiv.org/abs/2407.00456
Autor:
Yu, Guangba, Tan, Gou, Huang, Haojia, Zhang, Zhenyu, Chen, Pengfei, Natella, Roberto, Zheng, Zibin
The rapid advancement of Artificial Intelligence (AI) has led to its integration into various areas, especially with Large Language Models (LLMs) significantly enhancing capabilities in Artificial Intelligence Generated Content (AIGC). However, the c
Externí odkaz:
http://arxiv.org/abs/2407.00125
Autor:
Liao, Zeqin, Nan, Yuhong, Liang, Henglong, Hao, Sicheng, Zhai, Juan, Wu, Jiajing, Zheng, Zibin
Publikováno v:
The ACM International Conference on the Foundations of Software Engineering 2024
With the increasing popularity of blockchain, different blockchain platforms coexist in the ecosystem (e.g., Ethereum, BNB, EOSIO, etc.), which prompts the high demand for cross-chain communication. Cross-chain bridge is a specific type of decentrali
Externí odkaz:
http://arxiv.org/abs/2406.15999
Publikováno v:
ISSTA 2023
Smart contracts written in Solidity are widely used in different blockchain platforms such as Ethereum, TRON and BNB Chain. One of the unique designs in Solidity smart contracts is its state-reverting mechanism for error handling and access control.
Externí odkaz:
http://arxiv.org/abs/2406.15988
Recent studies have highlighted fairness issues in Graph Neural Networks (GNNs), where they produce discriminatory predictions against specific protected groups categorized by sensitive attributes such as race and age. While various efforts to enhanc
Externí odkaz:
http://arxiv.org/abs/2406.13544
Semantic code search, retrieving code that matches a given natural language query, is an important task to improve productivity in software engineering. Existing code search datasets are problematic: either using unrealistic queries, or with mismatch
Externí odkaz:
http://arxiv.org/abs/2406.11589
As decentralized applications (DApps) proliferate, the increased complexity and usage of smart contracts have heightened their susceptibility to security incidents and financial losses. Although various vulnerability detection tools have been develop
Externí odkaz:
http://arxiv.org/abs/2406.10054
Distributed tracing serves as a fundamental element in the monitoring of cloud-based and datacenter systems. It provides visibility into the full lifecycle of a request or operation across multiple services, which is essential for understanding syste
Externí odkaz:
http://arxiv.org/abs/2406.06975
Autor:
Zheng, Dewu, Wang, Yanlin, Shi, Ensheng, Zhang, Ruikai, Ma, Yuchi, Zhang, Hongyu, Zheng, Zibin
To evaluate the code generation capabilities of Large Language Models (LLMs) in complex real-world software development scenarios, many evaluation approaches have been developed. They typically leverage contextual code from the latest version of a pr
Externí odkaz:
http://arxiv.org/abs/2406.06918
Over the past few years, research on deep graph learning has shifted from static graphs to temporal graphs in response to real-world complex systems that exhibit dynamic behaviors. In practice, temporal graphs are formalized as an ordered sequence of
Externí odkaz:
http://arxiv.org/abs/2406.00943