
Evaluating Representational Harms in Text-to-Image Models
ImageBite is a new DSL and model-driven process to test ethical concerns in text-to-image models
ImageBite is a new DSL and model-driven process to test ethical concerns in text-to-image models
This article explores how the Tree of Thoughts (ToT) framework can be adapted to enhance LLM-based domain modeling. It also introduces a Domain-Specific Language (DSL) tailored to support and streamline this approach.
We propose a Software Product Line approach for expressing and generating combinations of LLMs, e.g. using a Mixture of Experts technique
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
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