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ORCIDLaurel J. Orr
Person information
- affiliation: Stanford University, Department of Computer Science, CA, USA
- affiliation (PhD 2019): University of Washington, Paul G. Allen School for Computer Science and Engineering, Seattle, WA, USA
- affiliation: Sandia National Laboratories, Albuquerque, NM, USA
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2020 – today
- 2024
[c10]Manasi Ganti, Laurel J. Orr, Sen Wu:
Evaluating Text-to-SQL Model Failures on Real-World Data. ICDE 2024: 1- 2023
- [c9]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 - 2022
- [j7]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. 16(4): 738-746 (2022) - [j6]Srikanth Kandula
, Laurel J. Orr, Surajit Chaudhuri:
Data-induced predicates for sideways information passing in query optimizers. VLDB J. 31(6): 1263-1290 (2022) - [c8]Laurel J. Orr, Karan Goel, Christopher Ré:
Data Management Opportunities for Foundation Models. CIDR 2022 - [i10]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? CoRR abs/2205.09911 (2022) - [i9]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 abs/2210.02441 (2022) - [i8]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 abs/2211.09110 (2022) - 2021
- [j5]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): 3178-3181 (2021) - [c7]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 - [c6]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: 4566-4575 - [c5]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: 205-213 - [i7]Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. CoRR abs/2108.05053 (2021) - [i6]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 abs/2110.08228 (2021) - 2020
- [j4]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
EntropyDB: a probabilistic approach to approximate query processing. VLDB J. 29(1): 539-567 (2020) - [c4]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 - [c3]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
Sample Debiasing in the Themis Open World Database System. SIGMOD Conference 2020: 257-268 - [i5]Laurel J. Orr, Magda Balazinska, Dan Suciu:
Sample Debiasing in the Themis Open World Database System (Extended Version). CoRR abs/2002.09799 (2020) - [i4]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 abs/2010.10363 (2020)
2010 – 2019
- 2019
- [b1]Laurel J. Orr:
Building and Querying Probabilistic Models for Open World Database Systems. University of Washington, USA, 2019 - [j3]Laurel J. Orr, Srikanth Kandula, Surajit Chaudhuri:
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters. Proc. VLDB Endow. 13(3): 252-265 (2019) - [i3]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
EntropyDB: A Probabilistic Approach to Approximate Query Processing. CoRR abs/1911.04948 (2019) - [i2]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 abs/1912.07777 (2019) - 2017
- [j2]Laurel J. Orr, Dan Suciu, Magdalena Balazinska:
Probabilistic Database Summarization for Interactive Data Exploration. Proc. VLDB Endow. 10(10): 1154-1165 (2017) - [i1]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
Probabilistic Database Summarization for Interactive Data Exploration. CoRR abs/1703.03856 (2017) - 2015
- [j1]Sudeepa Roy, Laurel J. Orr, Dan Suciu:
Explaining Query Answers with Explanation-Ready Databases. Proc. VLDB Endow. 9(4): 348-359 (2015) - 2014
- [c2]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: 9:1-9:4 - 2012
- [c1]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: 254-260
Coauthor Index
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last updated on 2024-07-30 21:35 CEST by the dblp team
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