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05/28/2023
Emergent Modularity in Pre-trained Transformers
This work examines the presence of modularity in pre-trained Transformer...
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05/28/2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Injecting external knowledge can improve the performance of pre-trained ...
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12/19/2022
KNIFE: Knowledge Distillation with Free-Text Rationales
Free-text rationales (FTRs) follow how humans communicate by explaining ...
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10/17/2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
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09/14/2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Out-of-Domain (OOD) detection is a key component in a task-oriented dial...
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06/10/2022
Unsupervised and Few-shot Parsing from Pretrained Language Models
Pretrained language models are generally acknowledged to be able to enco...
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05/29/2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Existing slot filling models can only recognize pre-defined in-domain sl...
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05/29/2021