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09/19/2023
End-to-End Speech Recognition Contextualization with Large Language Models
In recent years, Large Language Models (LLMs) have garnered significant ...
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09/05/2023
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models
Automatic Speech Recognition (ASR) models need to be optimized for speci...
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07/21/2023
Prompting Large Language Models with Speech Recognition Abilities
Large language models have proven themselves highly flexible, able to so...
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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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05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
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05/17/2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties
Efficiently and reliably estimating uncertainty is an important objectiv...
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05/09/2023
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes
State-of-the-art sequence-to-sequence models often require autoregressiv...
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03/15/2022
Self-Distribution Distillation: Efficient Uncertainty Estimation
Deep learning is increasingly being applied in safety-critical domains. ...
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11/10/2019