Papers
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Data Commons overview paper — background on the motivation, development, and architecture of the Data Commons initiative
Citation:
@misc{guha2023datacommons, title={Data Commons}, author={Ramanathan V. Guha and Prashanth Radhakrishnan and Bo Xu and Wei Sun and Carolyn Au and Ajai Tirumali and Muhammad J. Amjad and Samantha Piekos and Natalie Diaz and Jennifer Chen and Julia Wu and Prem Ramaswami and James Manyika}, year={2023}, eprint={2309.13054}, archivePrefix={arXiv}, primaryClass={cs.CY}, url={https://arxiv.org/abs/2309.13054}, }
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Knowing When to Ask - Bridging Large Language Models and Data — technical report on the use of Data Commons statistical data for improving the accuracy of large-language model outputs
Citation:
@misc{radhakrishnan2024knowing, title={Knowing When to Ask - Bridging Large Language Models and Data}, author={Prashanth Radhakrishnan and Jennifer Chen and Bo Xu and Prem Ramaswami and Hannah Pho and Adriana Olmos and James Manyika and R. V. Guha}, year={2024}, eprint={}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2409.13741}, }
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