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05/25/2023
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors
Sparse annotation poses persistent challenges to training dense retrieva...
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02/13/2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Large pre-trained language models contain societal biases and carry alon...
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01/03/2023
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
Epilepsy is one of the most common neurological disorders, typically obs...
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01/28/2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
Pretrained general-purpose language models can achieve state-of-the-art ...
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12/16/2021
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking
We present a framework for improving the performance of a wide class of ...
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10/12/2020
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
Anginal symptoms can connote increased cardiac risk and a need for chang...
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10/06/2020
A Transformer-based Framework for Multivariate Time Series Representation Learning
In this work we propose for the first time a transformer-based framework...
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09/08/2020
Brown University at TREC Deep Learning 2019
This paper describes Brown University's submission to the TREC 2019 Deep...
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12/02/2018