Matei Zaharia

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 188

Top Venues

Publications

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. ICLR (2024)
Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR (2024)
Shu Liu, Asim Biswal, Audrey Cheng, Xiangxi Mo, Shiyi Cao, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia
Optimizing LLM Queries in Relational Workloads. CoRR (2024)
Liana Patel, Siddharth Jha, Carlos Guestrin, Matei Zaharia
LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data. CoRR (2024)
Jinhao Zhu, Liana Patel, Matei Zaharia, Raluca Ada Popa
Compass: Encrypted Semantic Search with High Accuracy. IACR Cryptol. ePrint Arch. 2024 (2024)
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. CoRR (2024)
Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel
World Model on Million-Length Video And Language With RingAttention. CoRR (2024)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) (2024)
Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. NAACL-HLT (2024)
Krista Opsahl-Ong, Michael J. Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs. CoRR (2024)
Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia
ALTO: An Efficient Network Orchestrator for Compound AI Systems. EuroMLSys@EuroSys (2024)
Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design. CoRR (2024)
Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia
ALTO: An Efficient Network Orchestrator for Compound AI Systems. CoRR (2024)
Hao Liu, Matei Zaharia, Pieter Abbeel
RingAttention with Blockwise Transformers for Near-Infinite Context. ICLR (2024)
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez
RAFT: Adapting Language Model to Domain Specific RAG. CoRR (2024)
Karim Elmaaroufi, Devan Shanker, Ana Cismaru, Marcell Vazquez-Chanlatte, Alberto L. Sangiovanni-Vincentelli, Matei Zaharia, Sanjit A. Seshia
Generating Probabilistic Scenario Programs from Natural Language. CoRR (2024)
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. Proc. ACM Manag. Data 2 (3) (2024)
Hao Liu, Matei Zaharia, Pieter Abbeel
Ring Attention with Blockwise Transformers for Near-Infinite Context. CoRR (2023)
Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
Data Acquisition: A New Frontier in Data-centric AI. CoRR (2023)
Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts. MLSys (2023)
Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto
Congestion Control Safety via Comparative Statics. INFOCOM (2023)
Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia
Accelerating Aggregation Queries on Unstructured Streams of Data. CoRR (2023)
Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Alexander Levis, Matei Zaharia, Irene Zhang
Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking. SOSP (2023)
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
Transactions Make Debugging Easy. CIDR (2023)
Lingjiao Chen, Matei Zaharia, James Zou
How is ChatGPT's behavior changing over time? CoRR (2023)
Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avi Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. ACL (Findings) (2023)
Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. CoRR (2023)
Lingjiao Chen, Matei Zaharia, James Zou
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance. CoRR (2023)
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia
: Record-Replay-Retroaction for Database-Backed Applications. Proc. VLDB Endow. 16 (11) (2023)
Peter Kraft, Qian Li, Xinjing Zhou, Peter Bailis, Michael Stonebraker, Xiangyao Yu, Matei Zaharia
Epoxy: ACID Transactions Across Diverse Data Stores. Proc. VLDB Endow. 16 (11) (2023)
Hao Liu, Matei Zaharia, Pieter Abbeel
Exploration with Principles for Diverse AI Supervision. CoRR (2023)
Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia
Analyzing and Comparing Lakehouse Storage Systems. CIDR (2023)
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines. CoRR (2023)
Francisco Romero, Caleb Winston, Johann Hauswald, Matei Zaharia, Christos Kozyrakis
Zelda: Video Analytics using Vision-Language Models. CoRR (2023)
Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia
Accelerating Aggregation Queries on Unstructured Streams of Data. Proc. VLDB Endow. 16 (11) (2023)
Arnav Singhvi, Manish Shetty, Shangyin Tan, Christopher Potts, Koushik Sen, Matei Zaharia, Omar Khattab
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines. CoRR (2023)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI (2023)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR (2023)
Lingjiao Chen, Matei Zaharia, James Zou
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. CoRR (2022)
Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts. CoRR (2022)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS (2022)
Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia
PLAID: An Efficient Engine for Late Interaction Retrieval. CoRR (2022)
Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter Bailis, Matei Zaharia
Finding Label and Model Errors in Perception Data With Learned Observation Assertions. CoRR (2022)
Qian Li, Peter Kraft, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Jason Li, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
A Progress Report on DBOS: A Database-oriented Operating System. CIDR (2022)
Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. 14 (3) (2022)
Gina Yuan, David Mazières, Matei Zaharia
Extricating IoT Devices from Vendor Infrastructure with Karl. CoRR (2022)
Magdalena Balazinska, Surajit Chaudhuri, AnHai Doan, Joseph M. Hellerstein, Hanuma Kodavalla, Ippokratis Pandis, Matei Zaharia
Cloud Data Systems: What are the Opportunities for the Database Research Community? Proc. VLDB Endow. 15 (12) (2022)
Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter D. Bailis, Matei Zaharia
Finding Label and Model Errors in Perception Data With Learned Observation Assertions. SIGMOD Conference (2022)
Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning
Hindsight: Posterior-guided training of retrievers for improved open-ended generation. ICLR (2022)
Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia
Overlook: Differentially Private Exploratory Visualization for Big Data. J. Priv. Confidentiality 12 (1) (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4 (8) (2022)
Lingjiao Chen, Matei Zaharia, James Y. Zou
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. NeurIPS (2022)
Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Peter Bailis, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework. CoRR (2022)
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. NAACL-HLT (2022)
Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia
Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems. NSDI (2022)
Daniel Kang, Francisco Romero, Peter D. Bailis, Christos Kozyrakis, Matei Zaharia
VIVA: An End-to-End System for Interactive Video Analytics. CIDR (2022)
Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz
Similarity Search for Efficient Active Learning and Search of Rare Concepts. AAAI (2022)
Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. CoRR (2022)
Alexander Behm, Shoumik Palkar, Utkarsh Agarwal, Timothy Armstrong, David Cashman, Ankur Dave, Todd Greenstein, Shant Hovsepian, Ryan Johnson, Arvind Sai Krishnan, Paul Leventis, Ala Luszczak, Prashanth Menon, Mostafa Mokhtar, Gene Pang, Sameer Paranjpye, Greg Rahn, Bart Samwel, Tom van Bussel, Herman Van Hovell, Maryann Xue, Reynold Xin, Matei Zaharia
Photon: A Fast Query Engine for Lakehouse Systems. SIGMOD Conference (2022)
Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. SIGMOD Conference (2022)
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
Transactions Make Debugging Easy. CoRR (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4 (10) (2022)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR (2022)
Nirvik Baruah, Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia
Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations. Proc. VLDB Endow. 16 (4) (2022)
Francisco Romero, Johann Hauswald, Aditi Partap, Daniel Kang, Matei Zaharia, Christos Kozyrakis
Optimizing Video Analytics with Declarative Model Relationships. Proc. VLDB Endow. 16 (3) (2022)
Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. CoRR (2022)
Lingjiao Chen, Matei Zaharia, James Zou
Efficient Online ML API Selection for Multi-Label Classification Tasks. ICML (2022)
Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia
PLAID: An Efficient Engine for Late Interaction Retrieval. CIKM (2022)
Lingjiao Chen, Matei Zaharia, James Zou
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts. ICLR (2022)
Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Alexander Levis, Matei Zaharia
Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access. SoCC (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia
Don't Give Up on Large Optimization Problems; POP Them! CoRR (2021)
Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning
Hindsight: Posterior-guided training of retrievers for improved open-ended generation. CoRR (2021)
Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou
Did the Model Change? Efficiently Assessing Machine Learning API Shifts. CoRR (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR (2021)
Matei Zaharia, Ali Ghodsi, Reynold Xin, Michael Armbrust
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics. CIDR (2021)
Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia
DBOS: A DBMS-oriented Operating System. Proc. VLDB Endow. 15 (1) (2021)
Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia
Efficient Large-Scale Language Model Training on GPU Clusters. CoRR (2021)
Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia
Memory-Efficient Pipeline-Parallel DNN Training. ICML (2021)
Omar Khattab, Christopher Potts, Matei Zaharia
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval. CoRR (2021)
Omar Khattab, Christopher Potts, Matei Zaharia
Relevance-guided Supervision for OpenQA with ColBERT. Trans. Assoc. Comput. Linguistics 9 (2021)
Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression. CoRR (2021)
Matei Zaharia
Designing Production-Friendly Machine Learning. Proc. VLDB Endow. 14 (13) (2021)
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia
DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution. CoRR (2021)
Lingjiao Chen, Matei Zaharia, James Zou
FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks. CoRR (2021)
Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto
Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control. HotNets (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates. Proc. VLDB Endow. 14 (11) (2021)
Saba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia, Dan Boneh
Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy. USENIX Security Symposium (2021)
Fiodar Kazhamiaka, Matei Zaharia, Peter Bailis
Challenges and Opportunities for Autonomous Vehicle Query Systems. CIDR (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR (2021)
Neoklis Polyzotis, Matei Zaharia
What can Data-Centric AI Learn from Data and ML Engineering? CoRR (2021)
Deepti Raghavan, Philip Alexander Levis, Matei Zaharia, Irene Zhang
Breakfast of champions: towards zero-copy serialization with NIC scatter-gather. HotOS (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP (2021)
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. CoRR (2021)
Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia
DIFF: a relational interface for large-scale data explanation. VLDB J. 30 (1) (2021)
Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia
Efficient large-scale language model training on GPU clusters using megatron-LM. SC (2021)
Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. NSDI (2021)
Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR (2021)
Omar Khattab, Matei Zaharia
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. SIGIR (2020)
Lingjiao Chen, Matei Zaharia, James Y. Zou
FrugalML: How to use ML Prediction APIs more accurately and cheaply. NeurIPS (2020)

Matei Zaharia.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Matei Zaharia