b'Jingjing Xu'

research

∙ 09/12/2023

CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis

Nuclear Magnetic Resonance (NMR) spectroscopy has served as a powerful a...

0 Di Guo, et al. ∙

research

∙ 08/09/2023

Extrapolating Large Language Models to Non-English by Aligning Languages

Due to the unbalanced training data distribution, the language ability o...

0 Wenhao Zhu, et al. ∙

research

∙ 06/10/2023

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation

Neural machine translation has achieved promising results on many transl...

0 Wenhao Zhu, et al. ∙

research

∙ 06/07/2023

M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Instruction tuning has significantly advanced large language models (LLM...

0 Lei Li, et al. ∙

research

∙ 05/24/2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories

Recently, Pretrained Language Models (PLMs) have been serving as general...

0 Heming Xia, et al. ∙

research

∙ 05/23/2023

Can Language Models Understand Physical Concepts?

Language models (LMs) gradually become general-purpose interfaces in the...

0 Lei Li, et al. ∙

research

∙ 05/22/2023

Extrapolating Multilingual Understanding Models as Multilingual Generators

Multilingual understanding models (or encoder-based), pre-trained via ma...

0 Bohong Wu, et al. ∙

research

∙ 05/22/2023

Can We Edit Factual Knowledge by In-Context Learning?

Previous studies have shown that large language models (LLMs) like GPTs ...

0 Ce Zheng, et al. ∙

research

∙ 05/17/2023

Statistical Knowledge Assessment for Generative Language Models

Generative Language Models (GLMs) have demonstrated capabilities to stor...

0 Qingxiu Dong, et al. ∙

research

∙ 04/10/2023

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Large language models (LLMs) have demonstrated remarkable potential in h...

0 Wenhao Zhu, et al. ∙

research

∙ 03/07/2023

A Challenging Benchmark for Low-Resource Learning

With promising yet saturated results in high-resource settings, low-reso...

0 Yudong Wang, et al. ∙

research

∙ 03/06/2023

OpenICL: An Open-Source Framework for In-context Learning

In recent years, In-context Learning (ICL) has gained increasing attenti...

0 Zhenyu Wu, et al. ∙

research

∙ 01/11/2023

Improving And Analyzing Neural Speaker Embeddings for ASR

Neural speaker embeddings encode the speaker's speech characteristics th...

0 Christoph Lüscher, et al. ∙

research

∙ 12/31/2022

A Survey for In-context Learning

With the increasing ability of large language models (LLMs), in-context ...

0 Qingxiu Dong, et al. ∙

research

∙ 12/20/2022

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation

Traditional multilingual neural machine translation (MNMT) uses a single...

0 Fei Yuan, et al. ∙

research

∙ 12/20/2022

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models

With increasing scale, large language models demonstrate both quantitati...

0 Jingjing Xu, et al. ∙

research

∙ 12/12/2022

BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph

Answering complex questions over textual resources remains a challenging...

0 Jingjing Xu, et al. ∙

research

∙ 10/07/2022

Calibrating Factual Knowledge in Pretrained Language Models

Previous literature has proved that Pretrained Language Models (PLMs) ca...

9 Qingxiu Dong, et al. ∙

research

∙ 07/11/2022

Numerical Approximations of the Allen-Cahn-Ohta-Kawasaki (ACOK) Equation with Modified Physics Informed Neural Networks (PINNs)

The physics informed neural networks (PINNs) has been widely utilized to...

0 Jingjing Xu, et al. ∙

research

∙ 06/26/2022

Improving the Training Recipe for a Robust Conformer-based Hybrid Model

Speaker adaptation is important to build robust automatic speech recogni...

2 Mohammad Zeineldeen, et al. ∙

research

∙ 04/08/2022

Contextual Representation Learning beyond Masked Language Modeling

How do masked language models (MLMs) such as BERT learn contextual repre...

0 Zhiyi Fu, et al. ∙

research

∙ 11/26/2021

KNAS: Green Neural Architecture Search

Many existing neural architecture search (NAS) solutions rely on downstr...

8 Jingjing Xu, et al. ∙

research

∙ 11/08/2021

A Survey on Green Deep Learning

In recent years, larger and deeper models are springing up and continuou...

0 Jingjing Xu, et al. ∙

research

∙ 11/05/2021

Conformer-based Hybrid ASR System for Switchboard Dataset

The recently proposed conformer architecture has been successfully used ...

8 Mohammad Zeineldeen, et al. ∙

research

∙ 08/13/2021

MTG: A Benchmarking Suite for Multilingual Text Generation

We introduce MTG, a new benchmark suite for training and evaluating mult...

0 Yiran Chen, et al. ∙

research

∙ 05/07/2021

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

Sequence-to-sequence (seq2seq) problems such as machine translation are ...

0 Zaixiang Zheng, et al. ∙

research

∙ 12/31/2020

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation

It is well accepted that the choice of token vocabulary largely affects ...

0 Jingjing Xu, et al. ∙

research

∙ 09/28/2020

Graph-based Multi-hop Reasoning for Long Text Generation

Long text generation is an important but challenging task.The main probl...

0 Liang Zhao, et al. ∙

research

∙ 11/17/2019

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning

In sequence to sequence learning, the self-attention mechanism proves to...

0 Guangxiang Zhao, et al. ∙

research

∙ 11/16/2019

Understanding and Improving Layer Normalization

Layer normalization (LayerNorm) is a technique to normalize the distribu...

0 Jingjing Xu, et al. ∙

research

∙ 09/09/2019

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Commonsense question answering aims to answer questions which require ba...

0 Shangwen Lv, et al. ∙

research

∙ 09/09/2019

Reasoning Over Semantic-Level Graph for Fact Checking

We study fact-checking in this paper, which aims to verify a textual cla...

17 Wanjun Zhong, et al. ∙

research

∙ 06/27/2019

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Chinese word segmentation (CWS) is a fundamental step of Chinese natural...

0 Ruixuan Luo, et al. ∙

research

∙ 06/04/2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model

Automatic article commenting is helpful in encouraging user engagement a...

0 Wei Li, et al. ∙

research

∙ 11/01/2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy

Cross-lingual word embeddings aim to capture common linguistic regularit...

0 Pengcheng Yang, et al. ∙

research

∙ 09/12/2018

Knowledge-Aware Conversational Semantic Parsing Over Web Tables

Conversational semantic parsing over tables requires knowledge acquiring...

0 Yibo Sun, et al. ∙

research

∙ 09/11/2018

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet

Automatic evaluation of semantic rationality is an important yet challen...

0 Shu Liu, et al. ∙

research

∙ 08/27/2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation

Generating semantically coherent responses is still a major challenge in...

0 Liangchen Luo, et al. ∙

research

∙ 08/23/2018

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations

This paper explores a new natural language processing task, review-drive...

0 Guangxiang Zhao, et al. ∙

research

∙ 08/22/2018

Learning Sentiment Memories for Sentiment Modification without Parallel Data

The task of sentiment modification requires reversing the sentiment of t...

0 Yi Zhang, et al. ∙

research

∙ 08/21/2018

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

Narrative story generation is a challenging problem because it demands t...

0 Jingjing Xu, et al. ∙

research

∙ 05/14/2018

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

The goal of sentiment-to-sentiment "translation" is to change the underl...

0 Jingjing Xu, et al. ∙

research

∙ 02/05/2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text

Existing text generation methods tend to produce repeated and "boring" e...

0 Jingjing Xu, et al. ∙

research

∙ 11/19/2017

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

Named Entity Recognition and Relation Extraction for Chinese literature ...

0 Jingjing Xu, et al. ∙

research

∙ 11/04/2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning

In recent years, neural networks have proven to be effective in Chinese ...

0 Jingjing Xu, et al. ∙

research

∙ 10/31/2017

Shallow Discourse Parsing with Maximum Entropy Model

In recent years, more research has been devoted to studying the subtask ...

0 Jingjing Xu, et al. ∙

research

∙ 10/31/2017

Improving Social Media Text Summarization by Learning Sentence Weight Distribution

Recently, encoder-decoder models are widely used in social media text su...

0 Jingjing Xu, et al. ∙

research

∙ 09/18/2017

Minimal Effort Back Propagation for Convolutional Neural Networks

As traditional neural network consumes a significant amount of computing...

0 Bingzhen Wei, et al. ∙

research

∙ 06/08/2017

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization

Current Chinese social media text summarization models are based on an e...

0 Shuming Ma, et al. ∙

research

∙ 02/15/2017

Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network

Recent studies have shown effectiveness in using neural networks for Chi...

0 Jingjing Xu, et al. ∙

Jingjing Xu

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