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06/06/2023
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Large language models (LLMs) encode a vast amount of world knowledge acq...
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12/20/2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
With increasing privacy concerns on data, recent studies have made signi...
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07/20/2021
Kernel Selection for Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) and its variants have shown pr...
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07/16/2021
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
Few-Shot image classification aims to utilize pretrained knowledge learn...
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03/10/2021
Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems
In this work, we generalize the reaction-diffusion equation in statistic...
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11/28/2019
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings
Representing words and phrases into dense vectors of real numbers which ...
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12/11/2018
