Laurel J. Orr

According to our database, Laurel J. Orr authored at least 20 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Data-induced predicates for sideways information passing in query optimizers.

Srikanth Kandula, Laurel J. Orr, Surajit Chaudhuri

VLDB J., 2022

Can Foundation Models Wrangle Your Data?

Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré

Proc. VLDB Endow., 2022

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, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

CoRR, 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

Data Management Opportunities for Foundation Models.

Laurel J. Orr, Karan Goel, Christopher Ré

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

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

Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems.

Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text.

Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation.

Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

EntropyDB: a probabilistic approach to approximate query processing.

Laurel J. Orr, Magdalena Balazinska, Dan Suciu

VLDB J., 2020

Sample Debiasing in the Themis Open World Database System (Extended Version).

Laurel J. Orr, Magda Balazinska, Dan Suciu

CoRR, 2020

Sample Debiasing in the Themis Open World Database System.

Laurel J. Orr, Magdalena Balazinska, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Building and Querying Probabilistic Models for Open World Database Systems.

Laurel J. Orr

PhD thesis, 2019

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters.

Laurel J. Orr, Srikanth Kandula, Surajit Chaudhuri

Proc. VLDB Endow., 2019

2017

Probabilistic Database Summarization for Interactive Data Exploration.

Laurel J. Orr, Dan Suciu, Magdalena Balazinska

Proc. VLDB Endow., 2017

2015

Explaining Query Answers with Explanation-Ready Databases.

Sudeepa Roy, Laurel J. Orr, Dan Suciu

Proc. VLDB Endow., 2015

2014

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

Proceedings of the Third Workshop on Data analytics in the Cloud, 2014

2012

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

Proceedings of the 2012 SC Companion: High Performance Computing, 2012