Laurel J. Orr

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Approximate Query Processing

Data Management

Top Venues

Proc. VLDB Endow.

Publications

Manasi Ganti, Laurel J. Orr, Sen Wu
Evaluating Text-to-SQL Model Failures on Real-World Data. ICDE (2024)
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré
Ask Me Anything: A simple strategy for prompting language models. ICLR (2023)
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
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Laurel J. Orr, Karan Goel, Christopher Ré
Data Management Opportunities for Foundation Models. CIDR (2022)
Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré
Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. 16 (4) (2022)
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
Ask Me Anything: A simple strategy for prompting language models. CoRR (2022)
Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré
Can Foundation Models Wrangle Your Data? CoRR (2022)
Srikanth Kandula, Laurel J. Orr, Surajit Chaudhuri
Data-induced predicates for sideways information passing in query optimizers. VLDB J. 31 (6) (2022)
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
Holistic Evaluation of Language Models. CoRR (2022)
Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. NAACL-HLT (Industry Papers) (2021)
Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. EMNLP (Findings) (2021)
Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. CoRR (2021)
Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. Proc. VLDB Endow. 14 (12) (2021)
Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR (2021)
Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. CoRR (2021)
Laurel J. Orr, Magda Balazinska, Dan Suciu
Sample Debiasing in the Themis Open World Database System (Extended Version). CoRR (2020)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
Sample Debiasing in the Themis Open World Database System. SIGMOD Conference (2020)
Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR (2020)
Laurel J. Orr, Samuel K. Ainsworth, Kevin G. Jamieson, Walter Cai, Magdalena Balazinska, Dan Suciu
Mosaic: A Sample-Based Database System for Open World Query Processing. CIDR (2020)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
EntropyDB: a probabilistic approach to approximate query processing. VLDB J. 29 (1) (2020)
Laurel J. Orr, Srikanth Kandula, Surajit Chaudhuri
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters. Proc. VLDB Endow. 13 (3) (2019)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
EntropyDB: A Probabilistic Approach to Approximate Query Processing. CoRR (2019)
Laurel J. Orr, Samuel K. Ainsworth, Walter Cai, Kevin G. Jamieson, Magda Balazinska, Dan Suciu
Mosaic: A Sample-Based Database System for Open World Query Processing. CoRR (2019)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
Probabilistic Database Summarization for Interactive Data Exploration. CoRR (2017)
Laurel J. Orr, Dan Suciu, Magdalena Balazinska
Probabilistic Database Summarization for Interactive Data Exploration. Proc. VLDB Endow. 10 (10) (2017)
Sudeepa Roy, Laurel J. Orr, Dan Suciu
Explaining Query Answers with Explanation-Ready Databases. Proc. VLDB Endow. 9 (4) (2015)
Sarah Loebman, Jennifer Ortiz, Lee Lee Choo, Laurel J. Orr, Lauren Anderson, Daniel Halperin, Magdalena Balazinska, Thomas Quinn, Fabio Governato
Big-Data Management Use-Case: A Cloud Service for Creating and Analyzing Galactic Merger Trees. DanaC@SIGMOD (2014)
Edward S. Jimenez, Laurel J. Orr, Kyle R. Thompson
An Irregular Approach to Large-Scale Computed Tomography on Multiple Graphics Processors Improves Voxel Processing Throughput. SC Companion (2012)