← Authors

Matei Zaharia

34 papers · 2012–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (45) πŸ”¬ Deep Specialist (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (33) ⚑ Prolific Year (5) πŸš€ Conference Pioneer ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (161) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7)

Conferences

ICLR (7) NIPS (6) NSDI (5) ICML (4) AAAI (3) EMNLP (3) NAACL (2) OSDI (2) ACL (1) JMLR (1)

Top co-authors

Omar Khattab (8) Lingjiao Chen (7) Christopher Potts (7) Peter Bailis (6) Ion Stoica (5) Keshav Santhanam (4) James Zou (4) Hao Liu (3) Jon Saad-Falcon (3) Pieter Abbeel (3)

Research topics

Privacy (1)

Keywords

information retrieval (4) machine learning api (2) prediction api (2) large language model (2) neural retrieval (2) parallel computing (2) language model (2) domain adaptation (1) online learning (1) active learning (1) knowledge distillation (1) speech recognition (1) claim verification (1) question answering (1) scalable learning (1) sentiment analysis (1) benchmark evaluation (1) multi-label classification (1) semantic search (1) passage retrieval (1)

Papers

DS SERVE: A Framework for Efficient and Scalable Neural Retrieval AAAI 2026
World Model on Million-Length Video And Language With Blockwise RingAttention ICLR 2025
Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025
LangProBe: a Language Program Benchmark EMNLP 2025
ElasticTok: Adaptive Tokenization for Image and Video ICLR 2025
HashAttention: Semantic Sparsity for Faster Inference ICML 2025
Compass: Encrypted Semantic Search with High Accuracy OSDI 2025
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems NAACL 2024
RingAttention with Blockwise Transformers for Near-Infinite Context ICLR 2024
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines ICLR 2024
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NIPS 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs AAAI 2023
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ACL 2023
Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022
Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems NSDI 2022
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts ICLR 2022
Hindsight: Posterior-guided training of retrievers for improved open-ended generation ICLR 2022
Efficient Online ML API Selection for Multi-Label Classification Tasks ICML 2022
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction NAACL 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift NIPS 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions NIPS 2022
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval NIPS 2021
Memory-Efficient Pipeline-Parallel DNN Training ICML 2021
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly NSDI 2021
FrugalML: How to use ML Prediction APIs more accurately and cheaply NIPS 2020
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads OSDI 2020
Selection via Proxy: Efficient Data Selection for Deep Learning ICLR 2020
LIT: Learned Intermediate Representation Training for Model Compression ICML 2019
Splinter: Practical Private Queries on Public Data NSDI 2017
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016
MLlib: Machine Learning in Apache Spark JMLR 2016
FairRide: Near-Optimal, Fair Cache Sharing NSDI 2016
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing NSDI 2012