# Mining Duplicate Questions of Stack Overflow

arXiv: https://arxiv.org/abs/2210.01637 · HTML: https://mlsanity.com/paper/2210.01637/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 14 references that are in the map.
- First posted on arXiv 4 Oct 2022.

## Builds on (most cited first, 3 of 3)

- [Visualizing and Understanding Recurrent Networks](https://mlsanity.com/paper/1506.02078/) (2015)
- [AmazonQA: A Review-Based Question Answering Task](https://mlsanity.com/paper/1908.04364/) (2019)
- [Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture](https://mlsanity.com/paper/1812.01260/) (2018)

## Abstract (arXiv)

There has a been a significant rise in the use of Community Question Answering sites (CQAs) over the last decade owing primarily to their ability to leverage the wisdom of the crowd. Duplicate questions have a crippling effect on the quality of these sites. Tackling duplicate questions is therefore an important step towards improving quality of CQAs. In this regard, we propose two neural network based architectures for duplicate question detection on Stack Overflow. We also propose explicitly modeling the code present in questions to achieve results that surpass the state of the art.