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09/12/2023
Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems
For sequence-to-sequence tasks it is challenging to combine individual s...
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07/09/2023
Can Generative Large Language Models Perform ASR Error Correction?
ASR error correction continues to serve as an important part of post-pro...
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07/03/2023
Analyzing Multiple-Choice Reading and Listening Comprehension Tests
Multiple-choice reading and listening comprehension tests are an importa...
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06/21/2023
Sample Attackability in Natural Language Adversarial Attacks
Adversarial attack research in natural language processing (NLP) has mad...
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06/08/2023
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
In this paper, we consider the challenge of summarizing patients' medica...
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05/17/2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties
Efficiently and reliably estimating uncertainty is an important objectiv...
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05/02/2023
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems
With the advent of deep learning methods, Neural Machine Translation (NM...
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02/10/2023
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
The development of automatic segmentation techniques for medical imaging...
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01/30/2023
Identifying Adversarially Attackable and Robust Samples
This work proposes a novel perspective on adversarial attacks by introdu...
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11/13/2022
"World Knowledge" in Multiple Choice Reading Comprehension
Recently it has been shown that without any access to the contextual pas...
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11/09/2022
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
This paper focuses on the uncertainty estimation for white matter lesion...
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11/06/2022
Parallel Attention Forcing for Machine Translation
Attention-based autoregressive models have achieved state-of-the-art per...
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11/06/2022
Deliberation Networks and How to Train Them
Deliberation networks are a family of sequence-to-sequence models, which...
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09/23/2022
Multiple-Choice Question Generation: Towards an Automated Assessment Framework
Automated question generation is an important approach to enable persona...
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08/19/2022
Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment
Grammatical Error Correction (GEC) systems perform a sequence-to-sequenc...
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04/17/2022
Residue-Based Natural Language Adversarial Attack Detection
Deep learning based systems are susceptible to adversarial attacks, wher...
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05/14/2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
Ensembles of machine learning models yield improved system performance a...
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01/13/2021
Should Ensemble Members Be Calibrated?
Underlying the use of statistical approaches for a wide range of applica...
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12/04/2020
CUED_speech at TREC 2020 Podcast Summarisation Track
In this paper, we describe our approach for the Podcast Summarisation ch...
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06/20/2020
Regression Prior Networks
Prior Networks are a recently developed class of models which yield inte...
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02/18/2020
Uncertainty in Structured Prediction
Uncertainty estimation is important for ensuring safety and robustness o...
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10/25/2019
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks
Recently, there has been growth in providers of speech transcription ser...
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05/31/2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Ensemble approaches for uncertainty estimation have recently been applie...
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04/30/2019
Ensemble Distribution Distillation
Ensemble of Neural Network (NN) models are known to yield improvements i...
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12/06/2018
Prior Networks for Detection of Adversarial Attacks
Adversarial examples are considered a serious issue for safety critical ...
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10/30/2018
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks
The standard approach to assess reliability of automatic speech transcri...
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10/30/2018
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
The standard approach to mitigate errors made by an automatic speech rec...
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02/28/2018
Predictive Uncertainty Estimation via Prior Networks
Estimating uncertainty is important to improving the safety of AI system...
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02/01/2018
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription
State-of-the-art English automatic speech recognition systems typically ...
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08/18/2017