Introduces EURO-5K dataset from 136 EU acts and benchmarks full fine-tuning vs QLoRA for BERT and LLM models on reporting obligation extraction, reporting 0.89 F1 with limited gains from legal pretraining except under parameter-efficient adaptation.
In: Legal Knowledge and Information Systems
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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N2I-RAG is an agentic RAG pipeline that automates binary legal indicator computation from complex normative texts with explicit traceability to provisions.
citing papers explorer
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EURO-5K: When Does Domain Pretraining Matter? Benchmarking Transformers for EU Reporting Obligation Extraction
Introduces EURO-5K dataset from 136 EU acts and benchmarks full fine-tuning vs QLoRA for BERT and LLM models on reporting obligation extraction, reporting 0.89 F1 with limited gains from legal pretraining except under parameter-efficient adaptation.
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From Norms to Indicators (N2I-RAG): An Agentic Retrieval-Augmented Generation Framework for Legal Indicator Computation
N2I-RAG is an agentic RAG pipeline that automates binary legal indicator computation from complex normative texts with explicit traceability to provisions.