George Zerveas

According to our database, George Zerveas authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors.

George Zerveas, Navid Rekabsaz, Carsten Eickhoff

CoRR, 2023

Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors.

George Zerveas, Navid Rekabsaz, Carsten Eickhoff

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameter-efficient Modularised Bias Mitigation via AdapterFusion.

Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest.

Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, Carsten Eickhoff

Proceedings of the Computing in Cardiology, 2023

2022

CATS: Customizable Abstractive Topic-based Summarization.

Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff

ACM Trans. Inf. Syst., 2022

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro

CoRR, 2022

Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization.

George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG.

Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking.

George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking.

George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff

CoRR, 2021

A Transformer-based Framework for Multivariate Time Series Representation Learning.

George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.

Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar

Proceedings of the AMIA 2020, 2020

2019

Brown University at TREC Deep Learning 2019.

George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

2018

Improving Clinical Predictions through Unsupervised Time Series Representation Learning.

Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch

CoRR, 2018