GitHub

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...
InfoQ

Cloudflare Introduces Aggregations in R2 SQL for Data Analytics

Cloudflare recently announced support for aggregations in R2 SQL, a new feature that lets developers run SQL queries on data ...
IEEE

Global Carbon Fluxes Using Multioutput Gaussian Processes Regression and MODIS Products

Abstract: The quantification of carbon fluxes (CFs) is crucial due to their role in the global carbon cycle having a direct impact on Earth's climate. In the last years, considerable efforts have been ...
IEEE

Using Multisource Data and Time Series Features to Construct a Global Terrestrial CO₂ Coverage by Deep Learning

Abstract: Carbon dioxide (CO2) is the most important atmospheric contributor for global warming. Satellite remote sensing is a commonly used method for high-precision CO2 detection, but it often ...