An Irregular Approach to Large-Scale Computed Tomography on Multiple Graphics Processors Improves Voxel Processing Throughput. - Edward S. Jimenez; Laurel J. Orr; Kyle R. Thompson (SC Companion, 2012)

Big-Data Management Use-Case: A Cloud Service for Creating and Analyzing Galactic Merger Trees. - Sarah Loebman; Jennifer Ortiz; Lee Lee Choo; Laurel J. Orr; Lauren Anderson; Daniel Halperin; Magdalena Balazinska; Thomas Quinn; Fabio Governato (DanaC@SIGMOD, 2014)

Explaining Query Answers with Explanation-Ready Databases. - Sudeepa Roy 001; Laurel J. Orr; Dan Suciu (Proc. VLDB Endow., 2015)

Probabilistic Database Summarization for Interactive Data Exploration. - Laurel J. Orr; Dan Suciu; Magdalena Balazinska (Proc. VLDB Endow., 2017)

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters. - Laurel J. Orr; Srikanth Kandula; Surajit Chaudhuri (Proc. VLDB Endow., 2019)

Building and Querying Probabilistic Models for Open World Database Systems. - Laurel J. Orr (2019)

Mosaic: A Sample-Based Database System for Open World Query Processing. - Laurel J. Orr; Samuel K. Ainsworth; Kevin G. Jamieson; Walter Cai; Magdalena Balazinska; Dan Suciu (CIDR, 2020)

Sample Debiasing in the Themis Open World Database System. - Laurel J. Orr; Magdalena Balazinska; Dan Suciu (SIGMOD Conference, 2020)

Sample Debiasing in the Themis Open World Database System (Extended Version). - Laurel J. Orr; Magda Balazinska; Dan Suciu (CoRR, 2020)

EntropyDB: a probabilistic approach to approximate query processing. - Laurel J. Orr; Magdalena Balazinska; Dan Suciu (VLDB J., 2020)

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. - Laurel J. Orr; Megan Leszczynski; Neel Guha; Sen Wu 002; Simran Arora; Xiao Ling; Christopher Ré (CIDR, 2021)

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. - Maya Varma; Laurel J. Orr; Sen Wu 002; Megan Leszczynski; Xiao Ling; Christopher Ré (EMNLP (Findings), 2021)

Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. - Karan Goel; Laurel J. Orr; Nazneen Fatema Rajani; Jesse Vig; Christopher Ré (NAACL-HLT (Industry Papers), 2021)

Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. - Laurel J. Orr; Atindriyo Sanyal; Xiao Ling; Karan Goel; Megan Leszczynski (Proc. VLDB Endow., 2021)

Data Management Opportunities for Foundation Models. - Laurel J. Orr; Karan Goel; Christopher Ré (CIDR, 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Frederic Sala; Christopher Ré (CoRR, 2022)

Can Foundation Models Wrangle Your Data? - Avanika Narayan; Ines Chami; Laurel J. Orr; Christopher Ré (Proc. VLDB Endow., 2022)

Data-induced predicates for sideways information passing in query optimizers. - Srikanth Kandula; Laurel J. Orr; Surajit Chaudhuri (VLDB J., 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Christopher Ré (ICLR, 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Evaluating Text-to-SQL Model Failures on Real-World Data. - Manasi Ganti; Laurel J. Orr; Sen Wu 002 (ICDE, 2024)