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Found 6 papers, 2 papers with code
RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation
However, even with this improvement, the Success@1 score of the best-performing LLM is only 21%, which may not meet the need for reliable automatic repository-level code translation.
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
In this paper, we conduct an empirical study to study the phenomena, mechanism, and mitigation of LLM hallucinations within more practical and complex development contexts in repository-level generation scenario.
RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code
Despite their benefits, LLMs also pose notable risks, including the potential to generate harmful content and being abused by malicious developers to create malicious code.
Agents in Software Engineering: Survey, Landscape, and Vision
In recent years, Large Language Models (LLMs) have achieved remarkable success and have been widely used in various downstream tasks, especially in the tasks of the software engineering (SE) field.
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
In this paper, we empirically analyze the differences in coding style between the code generated by mainstream Code LLMs and the code written by human developers, and summarize coding style inconsistency taxonomy.
Smart Contract Security: a Practitioners' Perspective
Given numerous research efforts in addressing the security issues of smart contracts, we wondered how software practitioners build security into smart contracts in practice.
Software Engineering
