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09/18/2023
Predictive Uncertainty-based Bias Mitigation in Ranking
Societal biases that are contained in retrieved documents have received ...
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04/23/2023
A Lightweight Constrained Generation Alternative for Query-focused Summarization
Query-focused summarization (QFS) aims to provide a summary of a documen...
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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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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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11/19/2021
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Mechanical ventilation is one of the most widely used therapies in the I...
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06/25/2021
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Existing neural ranking models follow the text matching paradigm, where ...
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05/10/2021
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
In any ranking system, the retrieval model outputs a single score for a ...
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02/12/2021
Machine Learning for Mechanical Ventilation Control
We consider the problem of controlling an invasive mechanical ventilator...
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06/30/2020
Evaluating the Performance of Reinforcement Learning Algorithms
Performance evaluations are critical for quantifying algorithmic advance...
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06/11/2018
Distributed Evaluations: Ending Neural Point Metrics
With the rise of neural models across the field of information retrieval...
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05/10/2018
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval
With the rise in mobile and voice search, answer passage retrieval acts ...
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05/09/2018
Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning
Unlike traditional learning to rank models that depend on hand-crafted f...
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06/24/2016
