Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison. - Oren Etzioni; Michael J. Cafarella; Doug Downey; Ana-Maria Popescu; Tal Shaked; Stephen Soderland; Daniel S. Weld; Alexander Yates (AAAI, 2004)

Web-scale information extraction in knowitall: (preliminary results). - Oren Etzioni; Michael J. Cafarella; Doug Downey; Stanley Kok; Ana-Maria Popescu; Tal Shaked; Stephen Soderland; Daniel S. Weld; Alexander Yates (WWW, 2004)

Building Nutch: Open Source Search. - Michael J. Cafarella; Douglas R. Cutting (ACM Queue, 2004)

KnowItNow: Fast, Scalable Information Extraction from the Web. - Michael J. Cafarella; Doug Downey; Stephen Soderland; Oren Etzioni (HLT/EMNLP, 2005)

A search engine for natural language applications. - Michael J. Cafarella; Oren Etzioni (WWW, 2005)

Unsupervised named-entity extraction from the Web: An experimental study. - Oren Etzioni; Michael J. Cafarella; Doug Downey; Ana-Maria Popescu; Tal Shaked; Stephen Soderland; Daniel S. Weld; Alexander Yates (Artif. Intell., 2005)

Machine Reading. - Oren Etzioni; Michele Banko; Michael J. Cafarella (AAAI, 2006)

Ontology-Driven Information Extraction with OntoSyphon. - Luke K. McDowell; Michael J. Cafarella (ISWC, 2006)

Structured Queries Over Web Text. - Michael J. Cafarella; Oren Etzioni; Dan Suciu (IEEE Data Eng. Bull., 2006)

Structured Querying of Web Text Data: A Technical Challenge. - Michael J. Cafarella; Christopher Ré; Dan Suciu; Oren Etzioni (CIDR, 2007)

Open Information Extraction from the Web. - Michele Banko; Michael J. Cafarella; Stephen Soderland; Matthew Broadhead; Oren Etzioni (IJCAI, 2007)

TextRunner: Open Information Extraction on the Web. - Alexander Yates; Michele Banko; Matthew Broadhead; Michael J. Cafarella; Oren Etzioni; Stephen Soderland (HLT-NAACL (Demonstrations), 2007)

Navigating Extracted Data with Schema Discovery. - Michael J. Cafarella; Dan Suciu; Oren Etzioni (WebDB, 2007)

Uncovering the Relational Web. - Michael J. Cafarella; Alon Y. Halevy; Yang Zhang; Daisy Zhe Wang; Eugene Wu 002 (WebDB, 2008)

WebTables: exploring the power of tables on the web. - Michael J. Cafarella; Alon Y. Halevy; Daisy Zhe Wang; Eugene Wu 002; Yang Zhang (Proc. VLDB Endow., 2008)

Data management projects at Google. - Michael J. Cafarella; Edward Y. Chang; Andrew Fikes; Alon Y. Halevy; Wilson C. Hsieh; Alberto Lerner; Jayant Madhavan; S. Muthukrishnan 001 (SIGMOD Rec., 2008)

Web-scale extraction of structured data. - Michael J. Cafarella; Jayant Madhavan; Alon Y. Halevy (SIGMOD Rec., 2008)

Ontology-driven, unsupervised instance population. - Luke K. McDowell; Michael J. Cafarella (J. Web Semant., 2008)

Extracting and Querying a Comprehensive Web Database. - Michael J. Cafarella (CIDR, 2009)

How Best to Build Web-Scale Data Managers? A Panel Discussion. - Daniel J. Abadi; Michael J. Cafarella; Joseph M. Hellerstein; Donald Kossmann; Samuel Madden 001; Philip A. Bernstein (Proc. VLDB Endow., 2009)

Data Integration for the Relational Web. - Michael J. Cafarella; Alon Y. Halevy; Nodira Khoussainova (Proc. VLDB Endow., 2009)

Manimal: Relational Optimization for Data-Intensive Programs. - Michael J. Cafarella; Christopher Ré (WebDB, 2010)

Web data management. - Michael J. Cafarella; Alon Y. Halevy (SIGMOD Conference, 2011)

Structured data on the web. - Michael J. Cafarella; Alon Y. Halevy; Jayant Madhavan (Commun. ACM, 2011)

Automatic Optimization for MapReduce Programs. - Eaman Jahani; Michael J. Cafarella; Christopher Ré (Proc. VLDB Endow., 2011)

Sample-driven schema mapping. - Li Qian; Michael J. Cafarella; H. V. Jagadish (SIGMOD Conference, 2012)

Brainwash: A Data System for Feature Engineering. - Michael R. Anderson; Dolan Antenucci; Victor Bittorf; Matthew Burgess; Michael J. Cafarella; Arun Kumar 001; Feng Niu; Yongjoo Park; Christopher Ré; Ce Zhang 001 (CIDR, 2013)

Leveraging Noisy Lists for Social Feed Ranking. - Matthew Burgess; Alessandra Mazzia; Eytan Adar; Michael J. Cafarella (ICWSM, 2013)

Minimizing Remote Accesses in MapReduce Clusters. - Prateek Tandon 001; Michael J. Cafarella; Thomas F. Wenisch (IPDPS Workshops, 2013)

Automatic web spreadsheet data extraction. - Zhe Chen 014; Michael J. Cafarella (SSW@VLDB, 2013)

Ringtail: Feature Selection For Easier Nowcasting. - Dolan Antenucci; Michael J. Cafarella; Margaret Levenstein; Christopher Ré; Matthew D. Shapiro (WebDB, 2013)

Ringtail: A Generalized Nowcasting System. - Dolan Antenucci; Erdong Li; Shaobo Liu; Bochun Zhang; Michael J. Cafarella; Christopher Ré (Proc. VLDB Endow., 2013)

Senbazuru: A Prototype Spreadsheet Database Management System. - Zhe Chen 014; Mike Cafarella; Jun Chen; Daniel Prevo; Junfeng Zhuang (Proc. VLDB Endow., 2013)

Reducing MapReduce Abstraction Costs for Text-centric Applications. - Chun-Hung Hsiao; Michael J. Cafarella; Satish Narayanasamy (ICPP, 2014)

Integrating spreadsheet data via accurate and low-effort extraction. - Zhe Chen 014; Michael J. Cafarella (KDD, 2014)

Using web corpus statistics for program analysis. - Chun-Hung Hsiao; Michael J. Cafarella; Satish Narayanasamy (OOPSLA, 2014)

An Integrated Development Environment for Faster Feature Engineering. - Michael R. Anderson; Michael J. Cafarella; Yixing Jiang; Guan Wang; Bochun Zhang (Proc. VLDB Endow., 2014)

Synthesizing Data Programs. - Mike Cafarella (CIDR, 2015)

Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? - Christopher Ré; Divy Agrawal; Magdalena Balazinska; Michael J. Cafarella; Michael I. Jordan; Tim Kraska; Raghu Ramakrishnan 001 (SIGMOD Conference, 2015)

DiagramFlyer: A Search Engine for Data-Driven Diagrams. - Zhe Chen 014; Michael J. Cafarella; Eytan Adar (WWW (Companion Volume), 2015)

Link-Prediction Enhanced Consensus Clustering for Complex Networks. - Matthew Burgess; Eytan Adar; Michael J. Cafarella (CoRR, 2015)

Neighbor-Sensitive Hashing. - Yongjoo Park; Michael J. Cafarella; Barzan Mozafari (Proc. VLDB Endow., 2015)

Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction. - Jaeho Shin 001; Christopher Ré; Michael J. Cafarella (Proc. VLDB Endow., 2015)

DBExplorer: Exploratory Search in Databases. - Manish Singh 002; Michael J. Cafarella; H. V. Jagadish (EDBT, 2016)

Input selection for fast feature engineering. - Michael R. Anderson; Michael J. Cafarella (ICDE, 2016)

A query system for social media signals. - Dolan Antenucci; Michael R. Anderson; Penghua Zhao; Michael J. Cafarella (ICDE, 2016)

Dark Data: Are we solving the right problems? - Michael J. Cafarella; Ihab F. Ilyas; Marcel Kornacker; Tim Kraska; Christopher Ré (ICDE, 2016)

Visualization-aware sampling for very large databases. - Yongjoo Park; Michael J. Cafarella; Barzan Mozafari (ICDE, 2016)

HAWK: Hardware support for unstructured log processing. - Prateek Tandon 001; Faissal M. Sleiman; Michael J. Cafarella; Thomas F. Wenisch (ICDE, 2016)

HARE: Hardware accelerator for regular expressions. - Vaibhav Gogte; Aasheesh Kolli; Michael J. Cafarella; Loris D'Antoni; Thomas F. Wenisch (MICRO, 2016)

DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services. - Michael Chow; Kaushik Veeraraghavan; Michael J. Cafarella; Jason Flinn (OSDI, 2016)

Extracting Databases from Dark Data with DeepDive. - Ce Zhang 001; Jaeho Shin 001; Christopher Ré; Michael J. Cafarella; Feng Niu (SIGMOD Conference, 2016)

Long-tail Vocabulary Dictionary Extraction from the Web. - Zhe Chen 014; Michael J. Cafarella; H. V. Jagadish (WSDM, 2016)

Runtime Support for Human-in-the-Loop Feature Engineering System. - Michael R. Anderson; Dolan Antenucci; Michael J. Cafarella (IEEE Data Eng. Bull., 2016)

A Declarative Query Processing System for Nowcasting. - Dolan Antenucci; Michael R. Anderson; Michael J. Cafarella (Proc. VLDB Endow., 2016)

Spreadsheet Property Detection With Rule-assisted Active Learning. - Zhe Chen 014; Sasha Dadiomov; Richard Wesley; Gang Xiao; Daniel Cory; Michael J. Cafarella; Jock D. Mackinlay (CIKM, 2017)

Foofah: Transforming Data By Example. - Zhongjun Jin; Michael R. Anderson; Michael J. Cafarella; H. V. Jagadish (SIGMOD Conference, 2017)

Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs. - Zhongjun Jin; Michael R. Anderson; Michael J. Cafarella; H. V. Jagadish (SIGMOD Conference, 2017)

Database Learning: Toward a Database that Becomes Smarter Every Time. - Yongjoo Park; Ahmad Shahab Tajik; Michael J. Cafarella; Barzan Mozafari (SIGMOD Conference, 2017)

DeepDive: declarative knowledge base construction. - Ce Zhang 001; Christopher Ré; Michael J. Cafarella; Jaeho Shin 001; Feiran Wang; Sen Wu 002 (Commun. ACM, 2017)

Sledgehammer: Cluster-Fueled Debugging. - Andrew Quinn 001; Jason Flinn; Michael J. Cafarella (OSDI, 2018)

Beaver: Towards a Declarative Schema Mapping. - Zhongjun Jin; Christopher Baik; Michael J. Cafarella; H. V. Jagadish (HILDA@SIGMOD, 2018)

Unifacta: Profiling-driven String Pattern Standardization. - Zhongjun Jin; Michael J. Cafarella; H. V. Jagadish; Sean Kandel; Michael Minar (CoRR, 2018)

Constraint-based Explanation and Repair of Filter-Based Transformations. - Dolan Antenucci; Michael J. Cafarella (Proc. VLDB Endow., 2018)

Ten Years of WebTables. - Michael J. Cafarella; Alon Y. Halevy; Hongrae Lee; Jayant Madhavan; Cong Yu 001; Daisy Zhe Wang; Eugene Wu 002 (Proc. VLDB Endow., 2018)

Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements. - Saeideh Shahrokh Esfahani; Michael J. Cafarella; Maziyar Baran Pouyan; Gregory J. DeAngelo; Elena Eneva; Andy E. Fano (ACL (1), 2019)

Demonstration of a Multiresolution Schema Mapping System. - Zhongjun Jin; Christopher Baik; Michael J. Cafarella; H. V. Jagadish; Yuze Lou (CIDR, 2019)

CLX: Towards verifiable PBE data transformation. - Zhongjun Jin; Michael J. Cafarella; H. V. Jagadish; Sean Kandel; Michael Minar; Joseph M. Hellerstein (EDBT, 2019)

You can't debug what you can't see: Expanding observability with the OmniTable. - Andrew Quinn 001; Jason Flinn; Michael J. Cafarella (HotOS, 2019)

Physical Representation-Based Predicate Optimization for a Visual Analytics Database. - Michael R. Anderson; Michael J. Cafarella; Germán Ros; Thomas F. Wenisch (ICDE, 2019)

Knowledge Graph Programming with a Human-in-the-Loop: Preliminary Results. - Yuze Lou; Mahfus Uddin; Nathaniel Brown; Michael J. Cafarella (HILDA@SIGMOD, 2019)

Constructing Expressive Relational Queries with Dual-Specification Synthesis. - Christopher Baik; Zhongjun Jin; Michael J. Cafarella; H. V. Jagadish (CIDR, 2020)

A Polystore Based Database Operating System (DBOS). - Michael J. Cafarella; David J. DeWitt; Vijay Gadepally; Jeremy Kepner; Christos Kozyrakis; Tim Kraska; Michael Stonebraker; Matei Zaharia (Poly/DMAH@VLDB, 2020)

Towards Data Discovery by Example. - El Kindi Rezig; Allan Vanterpool; Vijay Gadepally; Benjamin Price; Michael J. Cafarella; Michael Stonebraker (Poly/DMAH@VLDB, 2020)

BeeCluster: drone orchestration via predictive optimization. - Songtao He; Favyen Bastani; Arjun Balasingam; Karthik Gopalakrishnan 002; Ziwen Jiang; Mohammad Alizadeh; Hari Balakrishnan; Michael J. Cafarella; Tim Kraska; Sam Madden 001 (MobiSys, 2020)

Duoquest: A Dual-Specification System for Expressive SQL Queries. - Christopher Baik; Zhongjun Jin; Michael J. Cafarella; H. V. Jagadish (SIGMOD Conference, 2020)

MIRIS: Fast Object Track Queries in Video. - Favyen Bastani; Songtao He; Arjun Balasingam; Karthik Gopalakrishnan 002; Mohammad Alizadeh; Hari Balakrishnan; Michael J. Cafarella; Tim Kraska; Sam Madden 001 (SIGMOD Conference, 2020)

A Method for Optimizing Opaque Filter Queries. - Wenjia He 001; Michael R. Anderson; Maxwell Strome; Michael J. Cafarella (SIGMOD Conference, 2020)

Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data. - Alana Marzoev; Samuel Madden 001; M. Frans Kaashoek; Michael J. Cafarella; Jacob Andreas (CoRR, 2020)

DBOS: A Proposal for a Data-Centric Operating System. - Michael J. Cafarella; David J. DeWitt; Vijay Gadepally; Jeremy Kepner; Christos Kozyrakis; Tim Kraska; Michael Stonebraker; Matei Zaharia (CoRR, 2020)

Data Governance in a Database Operating System (DBOS). - Deeptaanshu Kumar; Qian Li 027; Jason Li; Peter Kraft; Athinagoras Skiadopoulos; Lalith Suresh 001; Michael J. Cafarella; Michael Stonebraker (Poly/DMAH@VLDB, 2021)

Technical Report on Data Integration and Preparation. - El Kindi Rezig; Michael J. Cafarella; Vijay Gadepally (CoRR, 2021)

TagMe: GPS-Assisted Automatic Object Annotation in Videos. - Songtao He; Favyen Bastani; Mohammad Alizadeh; Hari Balakrishnan; Michael J. Cafarella; Tim Kraska; Sam Madden 001 (CoRR, 2021)

SkyQuery: An Aerial Drone Video Sensing Platform. - Favyen Bastani; Songtao He; Ziwen Jiang; Osbert Bastani; Michael J. Cafarella; Tim Kraska; Sam Madden 001 (CoRR, 2021)

DBOS: A DBMS-oriented Operating System. - Athinagoras Skiadopoulos; Qian Li 027; Peter Kraft; Kostis Kaffes; Daniel Hong; Shana Mathew; David Bestor; Michael J. Cafarella; Vijay Gadepally; Goetz Graefe; Jeremy Kepner; Christos Kozyrakis; et al. (Proc. VLDB Endow., 2021)

Replicated Layout for In-Memory Database Systems. - Sivaprasad Sudhir; Michael J. Cafarella; Samuel Madden 001 (Proc. VLDB Endow., 2021)

A Progress Report on DBOS: A Database-oriented Operating System. - Qian Li 027; Peter Kraft; Kostis Kaffes; Athinagoras Skiadopoulos; Deeptaanshu Kumar; Jason Li; Michael J. Cafarella; Goetz Graefe; Jeremy Kepner; Christos Kozyrakis; Michael Stonebraker; Lalith Suresh 001; et al. (CIDR, 2022)

Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. - Michael R. Anderson; Yuze Lou; Jiayun Zou; Michael J. Cafarella; Sarah E. Chasins; Doug Downey; Tian Gao; Kexin Huang; Dinghao Shen; Jenny M. Vo-Phamhi; Yitong Wang; Yuning Wang; et al. (CIDR, 2022)

Debugging the OmniTable Way. - Andrew Quinn 001; Jason Flinn; Michael J. Cafarella; Baris Kasikci (OSDI, 2022)

HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics. - Azza Abouzied; Dominik Moritz; Michael J. Cafarella (SIGMOD Conference, 2022)

Controlled Intentional Degradation in Analytical Video Systems. - Wenjia He 001; Michael J. Cafarella (SIGMOD Conference, 2022)

Enabling useful provenance in scripting languages with a human-in-the-loop. - Yuze Lou; Michael J. Cafarella (HILDA@SIGMOD, 2022)

Infrastructure for Rapid Open Knowledge Network Development. - Michael J. Cafarella; Michael R. Anderson; Iz Beltagy; Arie Cattan; Sarah E. Chasins; Ido Dagan; Doug Downey; Oren Etzioni; Sergey Feldman; Tian Gao; Tom Hope; Kexin Huang; et al. (AI Mag., 2022)

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework. - Peter Kraft; Qian Li 027; Kostis Kaffes; Athinagoras Skiadopoulos; Deeptaanshu Kumar; Danny Cho; Jason Li; Robert Redmond; Nathan W. Weckwerth; Brian S. Xia; Peter Bailis; Michael J. Cafarella; et al. (CoRR, 2022)

Transactions Make Debugging Easy. - Qian Li 027; Peter Kraft; Michael J. Cafarella; Çagatay Demiralp; Goetz Graefe; Christos Kozyrakis; Michael Stonebraker; Lalith Suresh 001; Matei Zaharia (CIDR, 2023)

On Explaining Confounding Bias. - Brit Youngmann; Michael J. Cafarella; Yuval Moskovitch; Babak Salimi (ICDE, 2023)

NEXUS: On Explaining Confounding Bias. - Brit Youngmann; Michael J. Cafarella; Yuval Moskovitch; Babak Salimi (SIGMOD Conference Companion, 2023)

SEED: Simple, Efficient, and Effective Data Management via Large Language Models. - Zui Chen; Lei Cao 004; Sam Madden 001; Ju Fan; Nan Tang 001; Zihui Gu; Zeyuan Shang; Chunwei Liu; Michael J. Cafarella; Tim Kraska (CoRR, 2023)

PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge. - Wenjia He 001; Ibrahim Sabek; Yuze Lou; Michael J. Cafarella (Proc. VLDB Endow., 2023)

R3: Record-Replay-Retroaction for Database-Backed Applications. - Qian Li 027; Peter Kraft; Michael J. Cafarella; Çagatay Demiralp; Goetz Graefe; Christos Kozyrakis; Michael Stonebraker; Lalith Suresh 001; Xiangyao Yu; Matei Zaharia (Proc. VLDB Endow., 2023)

Pando: Enhanced Data Skipping with Logical Data Partitioning. - Sivaprasad Sudhir; Wenbo Tao; Nikolay Pavlovich Laptev; Cyrille Habis; Michael J. Cafarella; Samuel Madden 001 (Proc. VLDB Endow., 2023)

Causal Data Integration. - Brit Youngmann; Michael J. Cafarella; Babak Salimi; Anna Zeng (Proc. VLDB Endow., 2023)

SeeSaw: Interactive Ad-hoc Search Over Image Databases. - Oscar R. Moll; Manuel Favela; Samuel Madden 001; Vijay Gadepally; Michael J. Cafarella (Proc. ACM Manag. Data, 2023)

Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. - Matthew Perron; Raul Castro Fernandez; David J. DeWitt; Michael J. Cafarella; Samuel Madden 001 (Proc. ACM Manag. Data, 2023)

MDCR: A Dataset for Multi-Document Conditional Reasoning. - Peter Baile Chen; Yi Zhang 001; Chunwei Liu; Sejal Gupta; Yoon Kim; Mike Cafarella (EMNLP (Findings), 2024)

Press ECCS to Doubt (Your Causal Graph). - Markos Markakis; Ziyu Zhang 002; Rana Shahout; Trinity Gao; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (GUIDE-AI@SIGMOD, 2024)

Digging Up Threats to Validity: A Data Marshalling Approach to Sensitivity Analysis. - Anna Zeng; Mike Cafarella (GUIDE-AI@SIGMOD, 2024)

Sawmill: From Logs to Causal Diagnosis of Large Systems. - Markos Markakis; An Bo Chen; Brit Youngmann; Trinity Gao; Ziyu Zhang 002; Rana Shahout; Peter Baile Chen; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (SIGMOD Conference Companion, 2024)

A Declarative System for Optimizing AI Workloads. - Chunwei Liu; Matthew Russo; Michael J. Cafarella; Lei Cao 004; Peter Baile Chen; Zui Chen; Michael J. Franklin; Tim Kraska; Samuel Madden 001; Gerardo Vitagliano (CoRR, 2024)

BEAVER: An Enterprise Benchmark for Text-to-SQL. - Peter Baile Chen; Fabian Wenz; Yi Zhang 001; Moe Kayali; Nesime Tatbul; Michael J. Cafarella; Çagatay Demiralp; Michael Stonebraker (CoRR, 2024)

Summarized Causal Explanations For Aggregate Views (Full version). - Brit Youngmann; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001 (CoRR, 2024)

Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs. - Ferdi Kossmann; Bruce Fontaine; Daya Khudia; Michael J. Cafarella; Samuel Madden 001 (CoRR, 2024)

Variable Extraction for Model Recovery in Scientific Literature. - Chunwei Liu; Enrique Noriega-Atala; Adarsh Pyarelal; Clayton T. Morrison; Mike Cafarella (CoRR, 2024)

Summarized Causal Explanations For Aggregate Views. - Brit Youngmann; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2024)

Optimizing Video Selection LIMIT Queries With Commonsense Knowledge. - Wenjia He 001; Ibrahim Sabek; Yuze Lou; Michael J. Cafarella (Proc. VLDB Endow., 2024)

LucidScript: Bottom-up Standardization for Data Preparation. - Eugenie Y. Lai; Yuze Lou; Brit Youngmann; Michael J. Cafarella (Proc. VLDB Endow., 2024)

Databases Unbound: Querying All of the World's Bytes with AI. - Samuel Madden 001; Michael J. Cafarella; Michael J. Franklin; Tim Kraska (Proc. VLDB Endow., 2024)

From Logs to Causal Inference: Diagnosing Large Systems. - Markos Markakis; Brit Youngmann; Trinity Gao; Ziyu Zhang 002; Rana Shahout; Peter Baile Chen; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (Proc. VLDB Endow., 2024)

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method. - Peter Baile Chen; Yi Zhang 001; Mike Cafarella; Dan Roth 001 (ACL (1), 2025)

Toward Standardized Data Preparation: A Bottom-Up Approach. - Eugenie Y. Lai; Yuze Lou; Brit Youngmann; Michael J. Cafarella (EDBT, 2025)

CausaLens: A System for Summarizing Causal DAGs. - Noam Chen; Anna Zeng; Michael J. Cafarella; Batya Kenig; Markos Markakis; Oren Mishali; Brit Youngmann; Babak Salimi (SIGMOD Conference Companion, 2025)

SeerCuts: Explainable Attribute Discretization. - Eugenie Y. Lai; Inbal Croitoru; Noam Bitton; Ariel Shalem; Brit Youngmann; Sainyam Galhotra; El Kindi Rezig; Michael J. Cafarella (SIGMOD Conference Companion, 2025)

CauSumX: Summarized Causal Explanations For Group-By-Average Queries. - Nativ Levy; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001; Brit Youngmann (SIGMOD Conference Companion, 2025)

PalimpChat: Declarative and Interactive AI analytics. - Chunwei Liu; Gerardo Vitagliano; Brandon Rose; Matthew Printz; David Andrew Samson; Michael J. Cafarella (SIGMOD Conference Companion, 2025)

PalimpChat: Declarative and Interactive AI analytics. - Chunwei Liu; Gerardo Vitagliano; Brandon Rose; Matt Prinz; David Andrew Samson; Michael J. Cafarella (CoRR, 2025)

Causal DAG Summarization. - Anna Zeng; Michael J. Cafarella; Batya Kenig; Markos Markakis; Brit Youngmann; Babak Salimi (Proc. VLDB Endow., 2025)

EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline. - Peter Baile Chen; Tomer Wolfson; Michael J. Cafarella; Dan Roth 001 (CoRR, 2025)

The Cambridge Report on Database Research. - Anastasia Ailamaki; Samuel Madden 001; Daniel Abadi; Gustavo Alonso; Sihem Amer-Yahia; Magdalena Balazinska; Philip A. Bernstein; Peter A. Boncz; Michael J. Cafarella; Surajit Chaudhuri; Susan B. Davidson; David J. DeWitt; et al. (CoRR, 2025)

Causal DAG Summarization (Full Version). - Anna Zeng; Michael J. Cafarella; Batya Kenig; Markos Markakis; Brit Youngmann; Babak Salimi (CoRR, 2025)

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001; Samuel Madden 001; Jacob Andreas; Michael J. Cafarella (CoRR, 2025)

Abacus: A Cost-Based Optimizer for Semantic Operator Systems. - Matthew Russo; Sivaprasad Sudhir; Gerardo Vitagliano; Chunwei Liu; Tim Kraska; Samuel Madden 001; Michael J. Cafarella (CoRR, 2025)

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes. - Eugenie Lai; Gerardo Vitagliano; Ziyu Zhang 002; Sivaprasad Sudhir; Om Chabra; Anna Zeng; Anton A. Zabreyko; Chenning Li; Ferdi Kossmann; Jialin Ding 001; Jun Chen; Markos Markakis; et al. (CoRR, 2025)