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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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05/23/2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
The robustness to distribution changes ensures that NLP models can be su...
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03/26/2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Despite the recent emergence of video captioning models, how to generate...
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01/17/2023
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
Open Information Extraction models have shown promising results with suf...
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11/30/2022
Federated deep clustering with GAN-based data synthesis
Clustering has been extensively studied in centralized settings, but rel...
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11/15/2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Deep learning has achieved great success in learning features from massi...
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10/29/2022
Federated clustering with GAN-based data synthesis
Federated clustering is an adaptation of centralized clustering in the f...
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10/08/2022
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction
Document-level relation extraction with graph neural networks faces a fu...
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04/23/2022
Selective clustering ensemble based on kappa and F-score
Clustering ensemble has an impressive performance in improving the accur...
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05/31/2021
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction
Knowledge Graph has been proven effective in modeling structured informa...
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10/02/2020
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples
With the development of deep learning, supervised learning methods perfo...
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06/19/2017
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Intra-operative measurements of tissue shape and multi/ hyperspectral in...
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06/15/2016
