Logical image understanding involves interpreting and reasoning about the relationships and consistency within an image’s visual content. This capability is essential in applications such as industrial inspection, where logical anomaly detection is critical for...
Radiology reports are a critical source of information for patient diagnosis and treatment in the medical domain. However, the vast amount of data contained in these reports is often unstructured, making it challenging to extract and normalize relevant clinical...
Many institutions write and publish policy documents to inform stakeholders or citizens about priority areas and legislations or regulations governing issues such as the environment, agriculture, food safety and business operations, to mention a few. These documents...
Prompted by the increasing dominance of proprietary Large Language Models (LLMs), such as OpenAI’s GPT-4 and Google’s Gemini, concerns about data privacy, accessibility and bias have led to a growing advocacy for OSLLMs. This study investigates Open Source Large...
The increasing capabilities of Large Language Models (LLMs) have opened new opportunities for enhancing Ontology Learning (OL), a process crucial for structuring domain knowledge in a machine-readable format. This paper reports on the participation of the RWTH-DBIS...
Large Language Models (LLMs) continue to demonstrate immense capabilities in many tasks relating to natural language understanding and generation. These capabilities, to a large extent, are possible because of the effective data management strategies that go into...
