activity
20182026
most citedGuiding LLM Temporal Logic Generation with Explicit Separation of Data and Control

3 citations · 6 across the 16 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE20242 cited

Using a Feedback Loop for LLM-based Infrastructure as Code Generation

Mayur Amarnath Palavalli, Mark Santolucito

Code generation with Large Language Models (LLMs) has helped to increase software developer productivity in coding tasks, but has yet to have significant impact on the tasks of sof…

cs.SE20241 cited

Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis

William Murphy, Nikolaus Holzer, Feitong Qiao +4

In the past few years, Large Language Models (LLMs) have exploded in usefulness and popularity for code generation tasks. However, LLMs still struggle with accuracy and are unsuita…

cs.SE2024

Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages

William Zhang, Maria Leon, Ryan Xu +10

Node-based programming languages are increasingly popular in media arts coding domains. These languages are designed to be accessible to users with limited coding experience, allow…

cs.SE2024

Statically Inferring Usage Bounds for Infrastructure as Code

Feitong Qiao, Aryana Mohammadi, Jürgen Cito +1

Infrastructure as Code (IaC) has enabled cloud customers to have more agility in creating and modifying complex deployments of cloud-provisioned resources. By writing a configurati…

cs.SE2018

Statically Verifying Continuous Integration Configurations

Mark Santolucito, Jialu Zhang, Ennan Zhai +1

Continuous Integration (CI) testing is a popular software development technique that allows developers to easily check that their code can build successfully and pass tests across…