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06/05/2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Pronunciation assessment is a major challenge in the computer-aided pron...
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05/22/2023
DiffusionNER: Boundary Diffusion for Named Entity Recognition
In this paper, we propose DiffusionNER, which formulates the named entit...
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03/30/2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Solving complicated AI tasks with different domains and modalities is a ...
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03/14/2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
As a common way of emotion signaling via non-linguistic vocalizations, v...
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03/14/2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
With the global population aging rapidly, Alzheimer's disease (AD) is pa...
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12/08/2022
Learning Domain Invariant Prompt for Vision-Language Models
Prompt learning is one of the most effective and trending ways to adapt ...
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11/14/2022
Towards Understanding Omission in Dialogue Summarization
Dialogue summarization aims to condense the lengthy dialogue into a conc...
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06/26/2022
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
Autoregressive generative models are commonly used, especially for those...
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05/25/2022
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Sentence scoring aims at measuring the likelihood score of a sentence an...
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10/08/2021
A study on the efficacy of model pre-training in developing neural text-to-speech system
In the development of neural text-to-speech systems, model pre-training ...
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08/29/2021
Analyzing and Mitigating Interference in Neural Architecture Search
Weight sharing has become the de facto approach to reduce the training c...
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07/05/2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
Rap generation, which aims to produce lyrics and corresponding singing b...
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05/30/2021
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
While pre-trained language models (e.g., BERT) have achieved impressive ...
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12/09/2020
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Automatic song writing aims to compose a song (lyric and/or melody) by m...
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07/21/2020
Neural Machine Translation with Error Correction
Neural machine translation (NMT) generates the next target token given a...
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04/27/2020
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning
While pre-training and fine-tuning, e.g., BERT <cit.>, GPT-2 <cit.>, hav...
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04/20/2020
MPNet: Masked and Permuted Pre-training for Language Understanding
BERT adopts masked language modeling (MLM) for pre-training and is one o...
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05/07/2019
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Pre-training and fine-tuning, e.g., BERT, have achieved great success in...
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03/18/2019
Generating Adversarial Examples With Conditional Generative Adversarial Net
Recently, deep neural networks have significant progress and successful ...
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11/01/2018
Hybrid Self-Attention Network for Machine Translation
The encoder-decoder is the typical framework for Neural Machine Translat...
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06/13/2018