Sabri Eyuboglu

Orcid: 0000-0002-8412-0266

According to our database1, Sabri Eyuboglu authored at least 15 papers between 2021 and 2024.

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Bibliography

2024
Just read twice: closing the recall gap for recurrent language models.
CoRR, 2024

Simple linear attention language models balance the recall-throughput tradeoff.
CoRR, 2024

Simple linear attention language models balance the recall-throughput tradeoff.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Zoology: Measuring and Improving Recall in Efficient Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Model ChangeLists: Characterizing Updates to ML Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.
Proc. VLDB Endow., 2023


Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DataPerf: Benchmarks for Data-Centric AI Development.
CoRR, 2022

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

dcbench: a benchmark for data-centric AI systems.
Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

ViLMedic: a framework for research at the intersection of vision and language in medical AI.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations.
CoRR, 2021


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