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09/12/2023
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Large language models excel in many human-language tasks but often falte...
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08/26/2023
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content
In this paper, we tackle the emerging challenge of unintended harmful co...
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08/15/2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Large Language Models (LLMs) hold immense potential to generate syntheti...
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07/01/2021
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Many common machine learning methods involve the geometric annealing pat...
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12/14/2020
Annealed Importance Sampling with q-Paths
Annealed importance sampling (AIS) is the gold standard for estimating p...
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08/19/2020
Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values
Attribute-Based Access Control (ABAC) and Relationship-based access cont...
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09/24/2019
A Decision Tree Learning Approach for Mining Relationship-Based Access Control Policies
Relationship-based access control (ReBAC) provides a high level of expre...
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03/18/2019
Efficient and Extensible Policy Mining for Relationship-Based Access Control
Relationship-based access control (ReBAC) is a flexible and expressive f...
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11/10/2015
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification
A method for large scale Gaussian process classification has been recent...
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11/10/2015
