1.3k citations · 2.6k across the 24 of their papers we have counts for
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Automatically Exposing Problems with Neural Dialog Models
Dian Yu, Kenji Sagae
Neural dialog models are known to suffer from problems such as generating unsafe and inconsistent responses. Even though these problems are crucial and prevalent, they are mostly m…
Language Embeddings for Typology and Cross-lingual Transfer Learning
Dian Yu, Taiqi He, Kenji Sagae
Cross-lingual language tasks typically require a substantial amount of annotated data or parallel translation data. We explore whether language representations that capture relatio…
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu, Luheng He, Yuan Zhang +3
Few-shot learning arises in important practical scenarios, such as when a natural language understanding system needs to learn new semantic labels for an emerging, resource-scarce…
Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
Dian Yu, Zhou Yu, Kenji Sagae
Large language models benefit from training with a large amount of unlabeled text, which gives them increasingly fluent and diverse generation capabilities. However, using these mo…