Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
A survey of large language models for code: Evolution, benchmarking, and future trends
Z Zheng, K Ning, Y Wang, J Zhang, D Zheng… - arXiv preprint arXiv …, 2023 - arxiv.org
General large language models (LLMs), represented by ChatGPT, have demonstrated
significant potential in tasks such as code generation in software engineering. This has led …
significant potential in tasks such as code generation in software engineering. This has led …
Llm for soc security: A paradigm shift
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic
devices, incorporating security into an SoC design flow poses significant challenges …
devices, incorporating security into an SoC design flow poses significant challenges …
Rtlfixer: Automatically fixing rtl syntax errors with large language models
This paper presents RTLFixer, a novel framework enabling automatic syntax errors fixing for
Verilog code with Large Language Models (LLMs). Despite LLM's promising capabilities …
Verilog code with Large Language Models (LLMs). Despite LLM's promising capabilities …
Llm4eda: Emerging progress in large language models for electronic design automation
Driven by Moore's Law, the complexity and scale of modern chip design are increasing
rapidly. Electronic Design Automation (EDA) has been widely applied to address the …
rapidly. Electronic Design Automation (EDA) has been widely applied to address the …
Configuration validation with large language models
Misconfigurations are the major causes of software failures. Existing configuration validation
techniques rely on manually written rules or test cases, which are expensive to implement …
techniques rely on manually written rules or test cases, which are expensive to implement …
Hdldebugger: Streamlining hdl debugging with large language models
In the domain of chip design, Hardware Description Languages (HDLs) play a pivotal role.
However, due to the complex syntax of HDLs and the limited availability of online resources …
However, due to the complex syntax of HDLs and the limited availability of online resources …
Automatic smart contract comment generation via large language models and in-context learning
Context: Designing effective automatic smart contract comment generation approaches can
facilitate developers' comprehension, boosting smart contract development and improving …
facilitate developers' comprehension, boosting smart contract development and improving …
Llm4plc: Harnessing large language models for verifiable programming of plcs in industrial control systems
Although Large Language Models (LLMs) have established predominance in automated
code generation, they are not devoid of shortcomings. The pertinent issues primarily relate …
code generation, they are not devoid of shortcomings. The pertinent issues primarily relate …
Hardware phi-1.5 b: A large language model encodes hardware domain specific knowledge
In the rapidly evolving semiconductor industry, where research, design, verification, and
manufacturing are intricately linked, the potential of Large Language Models to revolutionize …
manufacturing are intricately linked, the potential of Large Language Models to revolutionize …