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08/30/2023
MerA: Merging Pretrained Adapters For Few-Shot Learning
Adapter tuning, which updates only a few parameters, has become a mainst...
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08/29/2023
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
Most open-domain dialogue systems suffer from forgetting important infor...
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08/24/2023
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
The multimedia community has shown a significant interest in perceiving ...
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07/30/2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
Adaptive optimization has achieved notable success for distributed learn...
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07/13/2023
Free-Form Composition Networks for Egocentric Action Recognition
Egocentric action recognition is gaining significant attention in the fi...
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06/05/2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
Dense retrievers have achieved impressive performance, but their demand ...
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06/01/2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...
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05/24/2023
Self-Evolution Learning for Discriminative Language Model Pretraining
Masked language modeling, widely used in discriminative language model (...
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05/24/2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
Token dropping is a recently-proposed strategy to speed up the pretraini...
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05/22/2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Text classification tasks often encounter few shot scenarios with limite...
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05/19/2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
In federated learning (FL), a cluster of local clients are chaired under...
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05/05/2023
Random Smoothing Regularization in Kernel Gradient Descent Learning
Random smoothing data augmentation is a unique form of regularization th...
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04/29/2023
Representing Additive Gaussian Processes by Sparse Matrices
Among generalized additive models, additive Matérn Gaussian Processes (G...
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04/20/2023
Prompt-Learning for Cross-Lingual Relation Extraction
Relation Extraction (RE) is a crucial task in Information Extraction, wh...
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04/07/2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
The field of deep learning has witnessed significant progress, particula...
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03/24/2023
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT
Generative large language models (LLMs), e.g., ChatGPT, have demonstrate...
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03/24/2023
Towards Making the Most of ChatGPT for Machine Translation
ChatGPT shows remarkable capabilities for machine translation (MT). Seve...
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03/01/2023
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Sharpness aware minimization (SAM) optimizer has been extensively explor...
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02/21/2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Federated learning is an emerging distributed machine learning framework...
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02/19/2023
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
Recently, ChatGPT has attracted great attention, as it can generate flue...
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02/18/2023
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE
This technical report briefly describes our JDExplore d-team's submissio...
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01/25/2023
mcGP: mesh-clustered Gaussian process emulator for partial differential equation systems
Partial differential equations (PDEs) have become an essential tool for ...
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12/20/2022
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation
Machine Translation Quality Estimation (QE) is the task of evaluating tr...
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12/20/2022
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
The state-of-the-art language model-based automatic metrics, e.g. BARTSc...
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12/04/2022
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
This technical report briefly describes our JDExplore d-team's Vega v2 s...
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12/02/2022
Improving Simultaneous Machine Translation with Monolingual Data
Simultaneous machine translation (SiMT) is usually done via sequence-lev...
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11/10/2022
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks
Dynamic networks have been extensively explored as they can considerably...
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10/11/2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
Fine-tuning large pretrained language models on a limited training corpu...
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10/09/2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
Adapter Tuning, which freezes the pretrained language models (PLMs) and ...
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09/20/2022
Vega-MT: The JD Explore Academy Translation System for WMT22
We describe the JD Explore Academy's submission of the WMT 2022 shared g...
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09/07/2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
Pre-Training (PT) of text representations has been successfully applied ...
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08/22/2022
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Prompt-tuning, which freezes pretrained language models (PLMs) and only ...
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07/18/2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Graph Neural Networks (GNNs) tend to suffer from high computation costs ...
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05/30/2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
Sequence-to-sequence (seq2seq) learning has become a popular trend for p...
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05/28/2022
Parameter-Efficient and Student-Friendly Knowledge Distillation
Knowledge distillation (KD) has been extensively employed to transfer th...
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05/22/2022
Interpretable Proof Generation via Iterative Backward Reasoning
We present IBR, an Iterative Backward Reasoning model to solve the proof...
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04/16/2022
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation
Data augmentations (DA) are the cores to achieving robust sequence-to-se...
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04/16/2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation
For multilingual sequence-to-sequence pretrained language models (multil...
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04/16/2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis
Aspect-Based Sentiment Analysis is a fine-grained sentiment analysis tas...
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03/17/2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Federated Learning (FL) is an emerging distributed learning paradigm und...
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03/08/2022
Where Does the Performance Improvement Come From? – A Reproducibility Concern about Image-Text Retrieval
This paper seeks to provide the information retrieval community with som...
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03/07/2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
We develop an exact and scalable algorithm for one-dimensional Gaussian ...
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01/19/2022
Improving Neural Machine Translation by Denoising Training
We present a simple and effective pretraining strategy Denoising Trainin...
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01/13/2022
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentime...
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12/11/2021
A Sparse Expansion For Deep Gaussian Processes
Deep Gaussian Processes (DGP) enable a non-parametric approach to quanti...
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10/26/2021
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) aims to determine the sentiment p...
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10/05/2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
Pre-training (PT) and back-translation (BT) are two simple and powerful ...
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09/16/2021
Improving Neural Machine Translation by Bidirectional Training
We present a simple and effective pretraining strategy – bidirectional t...
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07/24/2021
The USYD-JD Speech Translation System for IWSLT 2021
This paper describes the University of Sydney JD's joint submission o...
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07/19/2021
