
From Local Retrieval to Global Reasoning: GraphRAG for Legal Knowledge Modeling
1. Introduction Artificial Intelligence is reshaping the way legal professionals access, analyze, and reason over information. Retrieval-Augmented Generation (RAG) has

1. Introduction Artificial Intelligence is reshaping the way legal professionals access, analyze, and reason over information. Retrieval-Augmented Generation (RAG) has

1. Introduction Generative artificial intelligence models have fundamentally transformed the way we create, access, and use information. However, their widespread

1. Strategic Context and Challenges Modern answer engines look simple from the outside: a user asks a question, and the

Introduction Retrieval-Augmented Generation systems [Li et al., 2025], called RAG, rely heavily on how documents are segmented before indexing. This

Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations

This research is the result of a collaboration between Ali Can Kocabiyikoglu, Pascal Zaragoza, and Vincent Laval, part of the

Adherence to legal mandates is crucial for businesses, as failure to comply can lead to substantial penalties. In an environment

At Berger-Levrault, research is more than a missionāitās a shared adventure. As the new academic year begins, we are proud

In the critical domain of Computerized Maintenance Management Systems (CMMS), solutions like CARL Source empower businesses to efficiently create, schedule,

Keywords: Synthetic Data, Retrieval-Augmented Generation (RAG), Small Language Models (7B LLM), Large Language Models (LLM like GPT-4o or GPT4.5), Model
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