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08/08/2023
Shepherd: A Critic for Language Model Generation
As large language models improve, there is increasing interest in techni...
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05/22/2023
Scaling Speech Technology to 1,000+ Languages
Expanding the language coverage of speech technology has the potential t...
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03/20/2023
Cocktail HuBERT: Generalized Self-Supervised Pre-training for Mixture and Single-Source Speech
Self-supervised learning leverages unlabeled data effectively, improving...
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12/15/2022
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
Large language models show improved downstream task performance when pro...
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03/20/2022
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
Users interacting with voice assistants today need to phrase their reque...
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02/08/2022
Logical Reasoning for Task Oriented Dialogue Systems
In recent years, large pretrained models have been used in dialogue syst...
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04/19/2021
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Traditional goal-oriented dialogue systems rely on various components su...
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11/16/2020
Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems
Goal-oriented dialog systems enable users to complete specific goals lik...
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06/10/2020
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors
Speech-based virtual assistants, such as Amazon Alexa, Google assistant,...
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11/15/2019
Towards Personalized Dialog Policies for Conversational Skill Discovery
Many businesses and consumers are extending the capabilities of voice-ba...
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11/08/2019
Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
Training dialog policies for speech-based virtual assistants requires a ...
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12/11/2017