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05/30/2023
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Language models have achieved impressive performances on dialogue genera...
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05/28/2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Large Language Models (LLMs) have shown promising performance in knowled...
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05/23/2023
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models
Emotional Text-To-Speech (TTS) is an important task in the development o...
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11/17/2022
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models
There has been a significant progress in Text-To-Speech (TTS) synthesis ...
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04/22/2022
KALA: Knowledge-Augmented Language Model Adaptation
Pre-trained language models (PLMs) have achieved remarkable success on v...
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06/30/2021
Edge Representation Learning with Hypergraphs
Graph neural networks have recently achieved remarkable success in repre...
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05/06/2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
QA models based on pretrained language mod-els have achieved remarkable ...
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02/23/2021
Accurate Learning of Graph Representations with Graph Multiset Pooling
Graph neural networks have been widely used on modeling graph data, achi...
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10/06/2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
We propose a method to automatically generate a domain- and task-adaptiv...
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03/14/2019
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
We consider a novel question answering (QA) task where the machine needs...
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12/11/2018
