George Zerveas

Orcid: 0000-0002-1227-5349

According to our database1, George Zerveas authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors.
CoRR, 2023

Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameter-efficient Modularised Bias Mitigation via AdapterFusion.
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.
Proceedings of the Computing in Cardiology, 2023

2022
CATS: Customizable Abstractive Topic-based Summarization.
ACM Trans. Inf. Syst., 2022

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.
CoRR, 2022

Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization.
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.
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.
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.
CoRR, 2021

A Transformer-based Framework for Multivariate Time Series Representation Learning.
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.
Proceedings of the AMIA 2020, 2020

2019
Brown University at TREC Deep Learning 2019.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

2018
Improving Clinical Predictions through Unsupervised Time Series Representation Learning.
CoRR, 2018


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