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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...
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08/09/2023
Extrapolating Large Language Models to Non-English by Aligning Languages
Due to the unbalanced training data distribution, the language ability o...
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06/10/2023
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation
Neural machine translation has achieved promising results on many transl...
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06/07/2023
M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Instruction tuning has significantly advanced large language models (LLM...
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05/24/2023
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
Recently, Pretrained Language Models (PLMs) have been serving as general...
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05/23/2023
Can Language Models Understand Physical Concepts?
Language models (LMs) gradually become general-purpose interfaces in the...
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05/22/2023
Extrapolating Multilingual Understanding Models as Multilingual Generators
Multilingual understanding models (or encoder-based), pre-trained via ma...
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05/22/2023
Can We Edit Factual Knowledge by In-Context Learning?
Previous studies have shown that large language models (LLMs) like GPTs ...
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05/17/2023
Statistical Knowledge Assessment for Generative Language Models
Generative Language Models (GLMs) have demonstrated capabilities to stor...
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04/10/2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Large language models (LLMs) have demonstrated remarkable potential in h...
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03/07/2023
A Challenging Benchmark for Low-Resource Learning
With promising yet saturated results in high-resource settings, low-reso...
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03/06/2023
OpenICL: An Open-Source Framework for In-context Learning
In recent years, In-context Learning (ICL) has gained increasing attenti...
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01/11/2023
Improving And Analyzing Neural Speaker Embeddings for ASR
Neural speaker embeddings encode the speaker's speech characteristics th...
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12/31/2022
A Survey for In-context Learning
With the increasing ability of large language models (LLMs), in-context ...
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12/20/2022
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation
Traditional multilingual neural machine translation (MNMT) uses a single...
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12/20/2022
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
With increasing scale, large language models demonstrate both quantitati...
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12/12/2022
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph
Answering complex questions over textual resources remains a challenging...
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10/07/2022
Calibrating Factual Knowledge in Pretrained Language Models
Previous literature has proved that Pretrained Language Models (PLMs) ca...
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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...
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06/26/2022
Improving the Training Recipe for a Robust Conformer-based Hybrid Model
Speaker adaptation is important to build robust automatic speech recogni...
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04/08/2022
Contextual Representation Learning beyond Masked Language Modeling
How do masked language models (MLMs) such as BERT learn contextual repre...
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11/26/2021
KNAS: Green Neural Architecture Search
Many existing neural architecture search (NAS) solutions rely on downstr...
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11/08/2021
A Survey on Green Deep Learning
In recent years, larger and deeper models are springing up and continuou...
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11/05/2021
Conformer-based Hybrid ASR System for Switchboard Dataset
The recently proposed conformer architecture has been successfully used ...
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08/13/2021
MTG: A Benchmarking Suite for Multilingual Text Generation
We introduce MTG, a new benchmark suite for training and evaluating mult...
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05/07/2021
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Sequence-to-sequence (seq2seq) problems such as machine translation are ...
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12/31/2020
VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
It is well accepted that the choice of token vocabulary largely affects ...
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09/28/2020
Graph-based Multi-hop Reasoning for Long Text Generation
Long text generation is an important but challenging task.The main probl...
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11/17/2019
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning
In sequence to sequence learning, the self-attention mechanism proves to...
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11/16/2019
Understanding and Improving Layer Normalization
Layer normalization (LayerNorm) is a technique to normalize the distribu...
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09/09/2019
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Commonsense question answering aims to answer questions which require ba...
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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...
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06/27/2019
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Chinese word segmentation (CWS) is a fundamental step of Chinese natural...
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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...
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11/01/2018
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy
Cross-lingual word embeddings aim to capture common linguistic regularit...
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09/12/2018
Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Conversational semantic parsing over tables requires knowledge acquiring...
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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...
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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...
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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...
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08/22/2018
Learning Sentiment Memories for Sentiment Modification without Parallel Data
The task of sentiment modification requires reversing the sentiment of t...
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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...
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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...
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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...
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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 ...
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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 ...
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10/31/2017
Shallow Discourse Parsing with Maximum Entropy Model
In recent years, more research has been devoted to studying the subtask ...
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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...
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09/18/2017
Minimal Effort Back Propagation for Convolutional Neural Networks
As traditional neural network consumes a significant amount of computing...
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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...
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02/15/2017