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Found 4 papers, 0 papers with code
Fine-tuning and aligning question answering models for complex information extraction tasks
The emergence of Large Language Models (LLMs) has boosted performance and possibilities in various NLP tasks.
Combining Deep Learning and Reasoning for Address Detection in Unstructured Text Documents
Extracting information from unstructured text documents is a demanding task, since these documents can have a broad variety of different layouts and a non-trivial reading order, like it is the case for multi-column documents or nested tables.
VitrAI -- Applying Explainable AI in the Real World
With recent progress in the field of Explainable Artificial Intelligence (XAI) and increasing use in practice, the need for an evaluation of different XAI methods and their explanation quality in practical usage scenarios arises.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Conversational Agents for Insurance Companies: From Theory to Practice
In this work we investigate the potential use of conversational agents in insurance companies theoretically by determining which classes of agents exist which are of interest to insurance companies, finding relevant use cases and requirements.
