Projects involve developing novel techniques and systems that leverage data, AI and conversational services in improving processes in different domains.
Project topics include:
LLMs for data annotation (e.g., research data annotation)
Generating test cases for pre-trained language models (e.g., testing for bias, testing for safety, testing for hallicinations)
Generating test cases for APIs
LLMs for Systematic litterature review process
Curating training data for understanding and analysing UI mockups and components
Curating training data for analysing APIs
Process mining for recommending process improvment and automation actions
Other can be discussed as well