Papers by Julian Ostarek

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Challenge:	Existing models lack finegrained classification schemes to determine whether small changes impact legal obligations or merely update formatting.
Approach:	They propose a benchmark for change detection in EU regulations that uses 4,772 manually annotated pairs of structurally distinct provisions mapped to a six-class taxonomy of legal change types.
Outcome:	The proposed framework combines lexical algorithms, dense encoders, and Large Language Models (LLMs) as baselines.