ViLegalExpert: A Large-Scale Benchmark for Vietnamese Legal Retrieval and Question Answering from Real-World Consultations

arXiv:2609.39189 · cs.CL · Submitted 2026-09-30 · Read on arXiv

cs.CL

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Benchmark — 31× in this paper · explained in 2 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 4× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Mean Reciprocal Rank — 1× in this paper
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• LEGAL-BERT: The Muppets straight out of Law School
• MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
• LightRAG: Simple and Fast Retrieval-Augmented Generation
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• Multilingual Denoising Pre-training for Neural Machine Translation
• A Replication Study of Dense Passage Retriever
• PhoBERT: Pre-trained language models for Vietnamese
• VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
• Multi-style Generative Reading Comprehension
• S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension
• BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
• mT5: A massively multilingual pre-trained text-to-text transformer
• QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
• DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
• JEC-QA: A Legal-Domain Question Answering Dataset

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