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04/17/2023
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model
Recently, the instruction-tuning of large language models is a crucial a...
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04/16/2023
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation
Recently, significant public efforts have been directed towards developi...
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03/14/2023
Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences
As a natural language assistant, ChatGPT is capable of performing variou...
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03/08/2023
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
In this paper, we delve into semi-supervised 2D human pose estimation. T...
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08/02/2022
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection
PCL detection task is aimed at identifying and categorizing language tha...
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08/02/2022
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
Machine Reading Comprehension with Unanswerable Questions is a difficult...
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04/19/2022
Audio-Visual Wake Word Spotting System For MISP Challenge 2021
This paper presents the details of our system designed for the Task 1 of...
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06/13/2021
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
This paper introduces GigaSpeech, an evolving, multi-domain English spee...
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10/27/2020
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Self-supervised visual pretraining has shown significant progress recent...
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10/21/2020
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog
Audio Visual Scene-aware Dialog (AVSD) is a task to generate responses w...
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10/16/2020
DiDi's Machine Translation System for WMT2020
This paper describes DiDi AI Labs' submission to the WMT2020 news transl...
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07/29/2020
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems
Recent work has shown that it is feasible to use generative adversarial ...
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07/29/2020
Transformer based unsupervised pre-training for acoustic representation learning
Computational audio analysis has become a central issue in associated ar...
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05/20/2020
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
Building a good speech recognition system usually requires large amounts...
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03/25/2020
Adversarial Multi-Binary Neural Network for Multi-class Classification
Multi-class text classification is one of the key problems in machine le...
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03/25/2020
Learning Syntactic and Dynamic Selective Encoding for Document Summarization
Text summarization aims to generate a headline or a short summary consis...
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03/18/2020
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
Abstractive text summarization is a challenging task, and one need to de...
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10/23/2019
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation
Multimodalities provide promising performance than unimodality in most t...
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10/22/2019
Cross-task pre-training for acoustic scene classification
Acoustic scene classification(ASC) and acoustic event detection(AED) are...
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10/22/2019
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
Speech recognition technologies are gaining enormous popularity in vario...
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09/06/2019
Learning Alignment for Multimodal Emotion Recognition from Speech
Speech emotion recognition is a challenging problem because human convey...
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08/02/2019
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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10/31/2018
Towards End-to-End Code-Switching Speech Recognition
Code-switching speech recognition has attracted an increasing interest r...
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05/10/2018
A comparable study of modeling units for end-to-end Mandarin speech recognition
End-To-End speech recognition have become increasingly popular in mandar...
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05/05/2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
We present Deep Speaker, a neural speaker embedding system that maps utt...
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03/01/2017
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
Most existing sequence labelling models rely on a fixed decomposition of...
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10/11/2016