ShortScience.org currently facilitates scholarly discussion of research papers after they have been published. Every research paper
has a page on our site where researchers publish summaries that are voted on, ranked, and commented until the best and most accessible summary has been found. These summaries provide information beyond what exists in the abstract or paper such as expert perspectives, clarification of details, explanations of mathematical derivations, and criticism of the research.
We feel that the site can speed up the literature review process and increase the number of active researchers by decreasing the barriers to understand and improve on concepts.
You can browse by venue such as NIPS and arXiv:
- Lo, Henry Z. and Cohen, Joseph P., (2017). ShortScience.org – Reproducing Intuition. International Conference on Machine Learning 2017 Workshop on Reproducibility in Machine Learning. http://arxiv.org/abs/