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05/23/2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Contrast consistency, the ability of a model to make consistently correc...
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11/19/2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Graph Neural Networks (GNNs) have drawn significant attentions over the ...
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11/12/2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Graph structure learning (GSL), which aims to learn the adjacency matrix...
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10/06/2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
A common thread of open-domain question answering (QA) models employs a ...
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10/05/2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...
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09/21/2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Knowledge-intensive tasks, such as open-domain question answering (QA), ...
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02/18/2022
Black-box Node Injection Attack for Graph Neural Networks
Graph Neural Networks (GNNs) have drawn significant attentions over the ...
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12/08/2021
Adaptive Kernel Graph Neural Network
Graph neural networks (GNNs) have demonstrated great success in represen...
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10/26/2021
