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07/29/2023
Towards Codable Text Watermarking for Large Language Models
As large language models (LLMs) generate texts with increasing fluency a...
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05/23/2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
In-context learning (ICL) emerges as a promising capability of large lan...
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05/08/2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
Pre-trained Language Models (PLMs) may be poisonous with backdoors or bi...
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01/25/2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
Federated Learning (FL) has become a popular distributed learning paradi...
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10/08/2021
Topology-Imbalance Learning for Semi-Supervised Node Classification
The class imbalance problem, as an important issue in learning node repr...
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12/29/2020
Accelerating Pre-trained Language Models via Calibrated Cascade
Dynamic early exiting aims to accelerate pre-trained language models' (P...
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12/14/2020
Distance-wise Graph Contrastive Learning
Contrastive learning (CL) has proven highly effective in graph-based sem...
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11/10/2019
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks
Semi-supervised learning is a widely used training framework for graph n...
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10/11/2019
Incorporating Fine-grained Events in Stock Movement Prediction
Considering event structure information has proven helpful in text-based...
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10/11/2019
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction
Incorporating related text information has proven successful in stock ma...
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09/18/2019
Recursive Graphical Neural Networks for Text Classification
The complicated syntax structure of natural language is hard to be expli...
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09/07/2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Graph Neural Networks (GNNs) have achieved promising performance on a wi...
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08/22/2018