Andriy Mulyar

According to our database, Andriy Mulyar authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Nomic Embed: Training a Reproducible Long Context Text Embedder.

Zach Nussbaum, John Xavier Morris, Andriy Mulyar, Brandon Duderstadt

Trans. Mach. Learn. Res., 2025

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking.

Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

CoRNStack: High-Quality Contrastive Data for Better Code Ranking.

Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

CoRR, 2024

Nomic Embed Vision: Expanding the Latent Space.

Zach Nussbaum, Brandon Duderstadt, Andriy Mulyar

CoRR, 2024

2023

Bootstrap percolation via automated conjecturing.

Neal Bushaw, Blake Conka, Vinay Gupta, Aidan Kierans, Hudson LaFayette, Craig E. Larson, Kevin McCall, Andriy Mulyar, Christine Sullivan, Scott Taylor, Evan Wainright, Evan Wilson, Guanyu Wu, Sarah Loeb

Ars Math. Contemp., January, 2023

GPT4All: An Ecosystem of Open Source Compressed Language Models.

Yuvanesh Anand, Zach Nussbaum, Adam Treat, Aaron Miller, Richard Guo, Ben Schmidt, GPT4All Community, Brandon Duderstadt, Andriy Mulyar

CoRR, 2023

2022

Extracting experimental parameter entities from scientific articles.

Steele Farnsworth, Gabrielle Gurdin, Jorge Vargas, Andriy Mulyar, Nastassja Lewinski, Bridget T. McInnes

J. Biomed. Informatics, 2022

2021

MT-clinical BERT: scaling clinical information extraction with multitask learning.

Andriy Mulyar, Özlem Uzuner, Bridget T. McInnes

J. Am. Medical Informatics Assoc., 2021

2020

MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning.

Andriy Mulyar, Bridget T. McInnes

CoRR, 2020

Clinical Concept Linking with Contextualized Neural Representations.

Elliot Schumacher, Andriy Mulyar, Mark Dredze

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models.

Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, Mark Dredze

CoRR, 2019

2018

TAC SRIE 2018: Extracting Systematic Review Information with MedaCy.

Andriy Mulyar, Darshini Mahendran, Luke Maffey, Amy L. Olex, Grant Matteo, Neha Dill, Nastassja Lewinski, Bridget T. McInnes

Proceedings of the 2018 Text Analysis Conference, 2018

Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees.

Andriy Mulyar, Bartosz Krawczyk

Proceedings of the Discovery Science - 21st International Conference, 2018