Merge branch 'master' into master

beets · Sep 12, 2024 · e4df587 · e4df587
2 parents a63a2a1 + f9d6d7b
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diff --git a/api/python/tutorials.md b/api/python/tutorials.md
@@ -12,7 +12,7 @@ Get familiar with the Data Commons knowledge graph and APIs using these analysis
 You can also clone these to use as a base for your own analysis.
 
 Example [Google Colab
-notebooks](https://colab.sandbox.google.com/notebooks/intro.ipynb) written in
+notebooks](https://colab.research.google.com/notebooks/intro.ipynb) written in
 Python:
 
 -   [Getting Started: Analyzing Census Data](https://colab.research.google.com/github/datacommonsorg/api-python/blob/master/notebooks/analyzing_census_data.ipynb){:target="_blank"}
@@ -27,6 +27,6 @@ Python:
 
 -   [Drug Discovery with Biomedical Data Commons](https://colab.research.google.com/github/datacommonsorg/api-python/blob/master/notebooks/Drug_Discovery_With_Data_Commons.ipynb){:target="_blank"}
 
--   [Analyzing Superfund Sites with Data Commons](https://colab.sandbox.google.com/github/datacommonsorg/api-python/blob/master/notebooks/Analyzing_SuperfundSites_with_Data_Commons.ipynb){:target="_blank"}
+-   [Analyzing Superfund Sites with Data Commons](https://colab.research.google.com/github/datacommonsorg/api-python/blob/master/notebooks/Analyzing_SuperfundSites_with_Data_Commons.ipynb){:target="_blank"}
 
--   [Estimating CMIP6 Temperature Distributions](https://colab.sandbox.google.com/github/datacommonsorg/api-python/blob/master/notebooks/Estimating_(Temperature)_Distributions_With_DataCommons_.ipynb){:target="_blank"}
+-   [Estimating CMIP6 Temperature Distributions](https://colab.research.google.com/github/datacommonsorg/api-python/blob/master/notebooks/Estimating_(Temperature)_Distributions_With_DataCommons_.ipynb){:target="_blank"}
diff --git a/papers/DataGemma-FullPaper.pdf b/papers/DataGemma-FullPaper.pdf
diff --git a/papers/index.md b/papers/index.md
@@ -5,4 +5,34 @@ nav_order: 40
 has_children: false
 ---
 
-**[Data Commons Overview Paper](http://arxiv.org/abs/2309.13054)**
+- [Data Commons](http://arxiv.org/abs/2309.13054) gioverview paper &mdash; 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}, 
+    }
+    ```
+
+- [Knowing When to Ask - Bridging Large Language Models and Data](https://datacommons.org/link/DataGemmaPaper) &mdash; 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://datacommons.org/link/DataGemmaPaper}, 
+    }
+    ```