> For the complete documentation index, see [llms.txt](https://paper.lingyunyang.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paper.lingyunyang.com/reading-notes/conference/sigmod-2023.md).

# SIGMOD 2023

## Meta Info

Homepage: <https://2023.sigmod.org/>

### Paper List

Research Papers: <https://2023.sigmod.org/sigmod_research_list.shtml>

Industrial Papers: <https://2023.sigmod.org/sigmod_industrial_list.shtml>

Demo Papers: <https://2023.sigmod.org/sigmod_demo_list.shtml>

## Papers

* GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning \[[Paper](https://dl.acm.org/doi/10.1145/3589773)]
  * Alibaba & PKU