:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pipitone, Nicholas, Alami, Ghita Houir
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2408.10343
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

zELO: ELO-inspired Training Method for Rerankers and Embedding Models
by: Pipitone, Nicholas, et al.
Published: (2025)

LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
by: Chen, Zerui, et al.
Published: (2026)

LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification
by: Neto, Pedro Barbosa de Carvalho
Published: (2026)

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
by: Wiratunga, Nirmalie, et al.
Published: (2024)

From Norms to Indicators (N2I-RAG): An Agentic Retrieval-Augmented Generation Framework for Legal Indicator Computation
by: Mouatamid, Youssef Al, et al.
Published: (2026)

OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation Tools
by: Liang, Jiaxuan, et al.
Published: (2025)

Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India
by: Goel, Rakshita, et al.
Published: (2025)

PILOT-Bench: A Benchmark for Legal Reasoning in the Patent Domain with IRAC-Aligned Classification Tasks
by: Jang, Yehoon, et al.
Published: (2026)

LegalCheck: Retrieval- and Context-Augmented Generation for Drafting Municipal Legal Advice Letters
by: van der Meer, Virgill, et al.
Published: (2026)

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation
by: Xiao, Yilin, et al.
Published: (2025)

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
by: Kalra, Rishi, et al.
Published: (2024)

GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval
by: Li, Minghan, et al.
Published: (2026)

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
by: Jin, Zhuoran, et al.
Published: (2024)

LegalCiteBench: Evaluating Citation Reliability in Legal Language Models
by: Chen, Sijia, et al.
Published: (2026)

UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
by: Ovcharov, Volodymyr
Published: (2026)

Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
by: Xi, Yueqing, et al.
Published: (2025)

MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
by: Jing, Huihao, et al.
Published: (2025)

SwiLTra-Bench: The Swiss Legal Translation Benchmark
by: Niklaus, Joel, et al.
Published: (2025)

LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in India
by: Panchal, Dnyanesh, et al.
Published: (2025)

Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation
by: Luo, Kangcheng, et al.
Published: (2025)

VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models
by: Dong, Nguyen Tien, et al.
Published: (2025)

Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps
by: Akbar, Khandakar Ashrafi, et al.
Published: (2025)

Evaluation Ethics of LLMs in Legal Domain
by: Zhang, Ruizhe, et al.
Published: (2024)

Natural Language Processing in the Legal Domain
by: Hartung, Dirk, et al.
Published: (2023)

Deepchecks: Evaluating Retrieval-Augmented Generation (RAG)
by: Gerner, Assaf, et al.
Published: (2026)

Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding
by: Mao, Mingyang, et al.
Published: (2025)

PLawBench: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
by: Shi, Yuzhen, et al.
Published: (2026)

LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model
by: Jang, Youngjoon, et al.
Published: (2026)

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
by: Siriwardhana, Shamane, et al.
Published: (2022)

RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian
by: Timpuriu, Mircea, et al.
Published: (2026)

MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems
by: Thakur, Nandan, et al.
Published: (2024)

Magis-Bench: Evaluating LLMs on Magistrate-Level Legal Tasks
by: Pires, Ramon, et al.
Published: (2026)

LegalScore: Development of a Benchmark for Evaluating AI Models in Legal Career Exams in Brazil
by: Caparroz, Roberto, et al.
Published: (2025)

KRAG Framework for Enhancing LLMs in the Legal Domain
by: Thanh, Nguyen Ha, et al.
Published: (2024)

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
by: Niklaus, Joel, et al.
Published: (2023)

DuetRAG: Collaborative Retrieval-Augmented Generation
by: Jiao, Dian, et al.
Published: (2024)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)

LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
by: Mantravadi, Ananya, et al.
Published: (2025)

The Massive Legal Embedding Benchmark (MLEB)
by: Butler, Umar, et al.
Published: (2025)