Large Language Models (LLMs) are being quickly integrated in a myriad of software applications. This may introduce a number of biases, such as gender, age or ethnicity, in the behavior of such applications. To face this challenge, we explore the automatic generation of tests to assess the potential biases of an LLM.
Can we use LLM to quickly generate proper UML models from hand drawn model sketches? We set out to answer this question by comparing four different LLMs with vision capabilities
Access-control is a key element to manage security in any user interface. This is the first attempt to extend conversational user interfaces with access-control capabilities.
We tried to become rich by creating a model-driven chatbot solution. See what happened next.
Low-modeling platforms accelerate the modeling of a software system by dramatically reducing the amount of hand-modeling required
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