384 citations · 598 across the 20 of their papers we have counts for
3 papers · 1 filter
Epicure: Distilling Sequence Model Predictions into Patterns
Miltiadis Allamanis, Earl T. Barr
Most machine learning models predict a probability distribution over concrete outputs and struggle to accurately predict names over high entropy sequence distributions. Here, we ex…
Software Product Line Engineering via Software Transplantation
Leandro O. Souza, Earl T. Barr, Justyna Petke +2
For companies producing related products, a Software Product Line (SPL) is a software reuse method that improves time-to-market and software quality, achieving substantial cost red…
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
Toufique Ahmed, Kunal Suresh Pai, Premkumar Devanbu +1
Large Language Models (LLM) are a new class of computation engines, "programmed" via prompt engineering. We are still learning how to best "program" these LLMs to help developers.…