Zaharia, Matei

A view of cloud computing

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al. (2010) · Communications of the ACM

Cloud Computing and Resource ManagementCloud Data Security Solutions

Cited by 9,464

Apache Spark: A unified engine for big data processing

Zaharia, M., Xin, R. S., Wendell, P., Das, T., Armbrust, M., Dave, A., Meng, X., Rosen, J., Venkataraman, S., Franklin, M. J., et al. (2016) · Communications of the ACM

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 2,757

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Khattab, O., & Zaharia, M. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1,301

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Khattab, O., Singhvi, A., Maheshwari, P., Zhang, Z., Santhanam, K., Vardhamanan, S., Haq, S., Sharma, A., Joshi, T. T., Moazam, H., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 911

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Chen, L., Zaharia, M., & Zou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 889

Efficient large-scale language model training on GPU clusters using megatron-LM

Narayanan, D., Shoeybi, M., Casper, J., LeGresley, P., Patwary, M., Korthikanti, V., Vainbrand, D., Kashinkunti, P., Bernauer, J., Catanzaro, B., et al. (2021) · Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Parallel Computing and Optimization TechniquesTopic Modeling

Cited by 639

Why Do Multi-Agent LLM Systems Fail?

Cemri, M., Pan, M. Z., Yang, S., Agrawal, L. A., Chopra, B., Tiwari, R., Keutzer, K., Parameswaran, A., Klein, D., Ramchandran, K., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 630

How is ChatGPT's behavior changing over time?

Chen, L., Zaharia, M., & Zou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 507

How Is ChatGPT’s Behavior Changing Over Time?

Chen, L., Zaharia, M., & Zou, J. (2024) · Harvard Data Science Review

Topic ModelingNatural Language Processing Techniques

Cited by 507

A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples

Naccache, S. N., Federman, S., Veeraraghavan, N., Zaharia, M., Lee, D., Samayoa, E., Bouquet, J., Greninger, A. L., Luk, K.-C., Enge, B., et al. (2014) · Genome Research

Genomics and Phylogenetic StudiesBacterial Identification and Susceptibility Testing

Cited by 460

NoScope: optimizing neural network queries over video at scale

Kang, D., Emmons, J., Abuzaid, F., Bailis, P., & Zaharia, M. (2017) · Proceedings of the VLDB Endowment

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 367

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Santhanam, K., Khattab, O., Saad-Falcon, J., Potts, C., & Zaharia, M. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Information Retrieval and Search BehaviorTopic Modeling

Cited by 353

RAFT: Adapting Language Model to Domain Specific RAG

Zhang, T., Patil, S. G., Jain, N., Shen, S., Zaharia, M., Stoica, I., & Gonzalez, J. E. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 286

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Opsahl-Ong, K., Ryan, M. J., Purtell, J., Broman, D., Potts, C., Zaharia, M., & Khattab, O. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 212

MLPerf Training Benchmark

Mattson, P., Cheng, C., Coleman, C., Diamos, G., Micikevicius, P., Patterson, D., Tang, H., Wei, G.-Y., Bailis, P., Bittorf, V., et al. (2019) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 206

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Saad-Falcon, J., Khattab, O., Potts, C., & Zaharia, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 148

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., & Hashimoto, T. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 114

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., & Hashimoto, T. (2024) · 2024 IEEE Security and Privacy Workshops (SPW)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 114

Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle

Chen, A., Chow, A., Davidson, A., DCunha, A., Ghodsi, A., Hong, S. A., Konwinski, A., Mewald, C., Murching, S., Nykodym, T., et al. (2020) · Proceedings of the Fourth International Workshop on Data Management for End-to-End Machine Learning

Scientific Computing and Data ManagementMachine Learning and Data Classification

Cited by 112

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Khattab, O., Santhanam, K., Li, X. L., Hall, D., Liang, P., Potts, C., & Zaharia, M. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 52

Long Context RAG Performance of Large Language Models

Leng, Q., Portes, J., Havens, S., Zaharia, M., & Carbin, M. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 35

Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS

Patel, L., Jha, S., Pan, M., Gupta, H., Asawa, P., Guestrin, C., & Zaharia, M. (2025) · Proceedings of the VLDB Endowment

Advanced Database Systems and QueriesTopic Modeling

Cited by 23

Ring Attention with Blockwise Transformers for Near-Infinite Context

Liu, H., Zaharia, M., & Abbeel, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 23