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12/19/2022
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Logical reasoning of text is an important ability that requires understa...
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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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05/25/2022
RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning
Transformers have been shown to be able to perform deductive reasoning o...
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03/19/2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Transformers have been shown to be able to perform deductive reasoning o...
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08/31/2021
Discretized Integrated Gradients for Explaining Language Models
As a prominent attribution-based explanation algorithm, Integrated Gradi...
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04/18/2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Augmenting pre-trained language models with knowledge graphs (KGs) has a...
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11/18/2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Graph Neural Networks (GNN) have been shown to work effectively for mode...
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11/10/2019
A Re-evaluation of Knowledge Graph Completion Methods
Knowledge Graph Completion (KGC) aims at automatically predicting missin...
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11/08/2019
Composition-based Multi-Relational Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have recently been shown to be quite...
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11/01/2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Most existing knowledge graphs suffer from incompleteness, which can be ...
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11/14/2018
