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09/14/2023
Zero-shot Audio Topic Reranking using Large Language Models
The Multimodal Video Search by Examples (MVSE) project investigates usin...
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09/10/2023
Mitigating Word Bias in Zero-shot Prompt-based Classifiers
Prompt-based classifiers are an attractive approach for zero-shot classi...
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07/15/2023
Zero-shot NLG evaluation through Pairware Comparisons with LLMs
Evaluating Natural Language Generation (NLG) outputs is crucial but labo...
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07/13/2023
Adapting an ASR Foundation Model for Spoken Language Assessment
A crucial part of an accurate and reliable spoken language assessment sy...
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06/22/2023
CamChoice: A Corpus of Multiple Choice Questions and Candidate Response Distributions
Multiple Choice examinations are a ubiquitous form of assessment that is...
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06/01/2023
Adapting an Unadaptable ASR System
As speech recognition model sizes and training data requirements grow, i...
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05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
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05/09/2023
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes
State-of-the-art sequence-to-sequence models often require autoregressiv...
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03/15/2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Generative Large Language Models (LLMs) such as GPT-3 are capable of gen...
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03/01/2023
N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space
Error correction models form an important part of Automatic Speech Recog...
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01/28/2023
MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
State-of-the-art summarization systems can generate highly fluent summar...
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11/16/2022
L2 proficiency assessment using self-supervised speech representations
There has been a growing demand for automated spoken language assessment...
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08/28/2022
Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods
Automatic summary assessment is useful for both machine-generated and hu...
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06/30/2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Distributional shift, or the mismatch between training and deployment da...
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03/15/2022
Self-Distribution Distillation: Efficient Uncertainty Estimation
Deep learning is increasingly being applied in safety-critical domains. ...
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09/08/2021
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
Transformer models have achieved state-of-the-art results in a wide rang...
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07/15/2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
There has been significant research done on developing methods for impro...
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07/09/2021
An Initial Investigation of Non-Native Spoken Question-Answering
Text-based machine comprehension (MC) systems have a wide-range of appli...
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05/08/2021
Long-Span Dependencies in Transformer-based Summarization Systems
Transformer-based models have achieved state-of-the-art results in a wid...
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04/02/2021
Attention Forcing for Machine Translation
Auto-regressive sequence-to-sequence models with attention mechanisms ha...
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09/30/2019
Non-native Speaker Verification for Spoken Language Assessment
Automatic spoken language assessment systems are becoming more popular i...
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09/26/2019
