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Found 5 papers, 3 papers with code
From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Existing approaches have utilized data context in a limited way by simply adding relevant information from the input data into the prompts sent to the LLM.
Shipwright: A Human-in-the-Loop System for Dockerfile Repair
Furthermore, in a "time-travel" analysis of broken Dockerfiles that were later fixed, we found that SHIPWRIGHT proposed repairs that were equivalent to human-authored patches in 22. 77% of the cases we studied.
Language Modelling
Software Engineering
Semantic Robustness of Models of Source Code
Deep neural networks are vulnerable to adversarial examples - small input perturbations that result in incorrect predictions.
Enabling Open-World Specification Mining via Unsupervised Learning
Using this dataset, we show that interesting clusters can be recovered, in a fully automatic way, by leveraging unsupervised learning in the form of word embeddings.
Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces
With the rise of machine learning, there is a great deal of interest in treating programs as data to be fed to learning algorithms.
Software Engineering
