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03/02/2023
Mixture of Soft Prompts for Controllable Data Generation
Large language models (LLMs) effectively generate fluent text when the t...
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02/12/2023
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking
Prompt-based methods with large pre-trained language models (PLMs) have ...
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12/06/2022
Sources of Noise in Dialogue and How to Deal with Them
Training dialogue systems often entails dealing with noisy training exam...
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06/12/2022
Data Augmentation for Intent Classification
Training accurate intent classifiers requires labeled data, which can be...
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12/15/2021
DG2: Data Augmentation Through Document Grounded Dialogue Generation
Collecting data for training dialog systems can be extremely expensive d...
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10/15/2021
Learning with Noisy Labels by Targeted Relabeling
Crowdsourcing platforms are often used to collect datasets for training ...
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09/07/2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
Practical dialogue systems require robust methods of detecting out-of-sc...
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04/01/2021
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
Existing goal-oriented dialogue datasets focus mainly on identifying slo...
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04/22/2019
SocialIQA: Commonsense Reasoning about Social Interactions
We introduce SocialIQa, the first large-scale benchmark for commonsense ...
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08/29/2018
