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05/12/2023
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization
The multilingual neural machine translation (NMT) model has a promising ...
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01/09/2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Task-agnostic knowledge distillation attempts to address the problem of ...
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01/09/2023
Universal Information Extraction as Unified Semantic Matching
The challenge of information extraction (IE) lies in the diversity of la...
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12/13/2022
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages
Software engineers working with the same programming language (PL) may s...
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10/24/2022
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems
Assigning items to owners is a common problem found in various real-worl...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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09/30/2022
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
Recent Vision-Language Pre-trained (VLP) models based on dual encoder ha...
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08/11/2022
GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling
Molecular property prediction is a fundamental task in the drug and mate...
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05/25/2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Many recent works indicate that the deep neural networks tend to take da...
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03/19/2022
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine
In this paper, we present DuReader_retrieval, a large-scale Chinese data...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/31/2020
ERNIE-DOC: The Retrospective Long-Document Modeling Transformer
Transformers are not suited for processing long document input due to it...
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10/16/2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
In open-domain question answering, dense passage retrieval has become a ...
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06/30/2020
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph
We propose a knowledge-enhanced approach, ERNIE-ViL, to learn joint repr...
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04/23/2020
DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models
Machine Reading Comprehension (MRC) is a crucial and challenging task in...
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04/19/2019
ERNIE: Enhanced Representation through Knowledge Integration
We present a novel language representation model enhanced by knowledge c...
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02/13/2019
Learning to Select Knowledge for Response Generation in Dialog Systems
Generating informative responses in end-to-end neural dialogue systems a...
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11/14/2017
