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08/21/2023
DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering
In this paper, we propose Docprompt for document question answering task...
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07/20/2023
Fractional Denoising for 3D Molecular Pre-training
Coordinate denoising is a promising 3D molecular pre-training method, wh...
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07/12/2023
Unified Molecular Modeling via Modality Blending
Self-supervised molecular representation learning is critical for molecu...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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05/31/2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Heterogeneous Graph Neural Networks (HGNNs) have gained significant popu...
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02/21/2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Node classification is a substantial problem in graph-based fraud detect...
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01/28/2023
Layout-aware Webpage Quality Assessment
Identifying high-quality webpages is fundamental for real-world search e...
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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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10/27/2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Recent progress in diffusion models has revolutionized the popular techn...
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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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09/18/2022
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Recent efforts of multimodal Transformers have improved Visually Rich Do...
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08/15/2022
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Estimated time of arrival (ETA) prediction, also known as travel time es...
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05/13/2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Relational graph neural networks have garnered particular attention to e...
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03/17/2022
POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps
Pre-trained models (PTMs) have become a fundamental backbone for downstr...
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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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12/02/2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems
In recent years, owing to the outstanding performance in graph represent...
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07/05/2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained models have achieved state-of-the-art results in various Nat...
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07/05/2021
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC
WikiKG90M in KDD Cup 2021 is a large encyclopedic knowledge graph, which...
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06/04/2021
ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression
Pretrained language models (PLMs) such as BERT adopt a training paradigm...
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09/08/2020
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
This paper describes the system designed by ERNIE Team which achieved th...
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09/08/2020
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
Code switching is a linguistic phenomenon that may occur within a multil...
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09/08/2020
Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
Graph convolutional network (GCN) and label propagation algorithms (LPA)...
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07/29/2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Recently, pre-trained models have achieved state-of-the-art results in v...
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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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05/20/2016