24 citations · 30 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning to Learn to Predict Performance Regressions in Production at Meta
Moritz Beller, Hongyu Li, Vivek Nair +6
Catching and attributing code change-induced performance regressions in production is hard; predicting them beforehand, even harder. A primer on automatically learning to predict p…
Learning Autocompletion from Real-World Datasets
Gareth Ari Aye, Seohyun Kim, Hongyu Li
Code completion is a popular software development tool integrated into all major IDEs. Many neural language models have achieved promising results in completion suggestion predicti…
Neural Code Search Evaluation Dataset
Hongyu Li, Seohyun Kim, Satish Chandra
There has been an increase of interest in code search using natural language. Assessing the performance of such code search models can be difficult without a readily available eval…
When Deep Learning Met Code Search
Jose Cambronero, Hongyu Li, Seohyun Kim +2
There have been multiple recent proposals on using deep neural networks for code search using natural language. Common across these proposals is the idea of co…