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New Benchmark Reveals LLM Unreliability in Colombian Law

A new benchmark has been developed to assess the reliability of large language models (LLMs) when applied to the Colombian legal system. The benchmark, which includes 1,042 items across ten legal areas and various question formats, revealed significant performance disparities among 15 evaluated models. While Gemini 3.1 Pro achieved high accuracy on closed-choice questions, factual correctness for free-text legal answers did not exceed 0.45 for any model. The study also highlighted a concerning dissociation between answer relevancy and correctness, indicating that LLMs often appear responsive but are factually inaccurate, necessitating expert supervision for legal tasks. AI

IMPACT Highlights the need for specialized benchmarks and expert oversight for LLMs in non-English legal systems, potentially impacting global adoption and trust.

RANK_REASON Academic paper introducing a new benchmark for LLM evaluation in a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Benchmark Reveals LLM Unreliability in Colombian Law

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Academic paper introducing a new benchmark for LLM evaluation in a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Rub\'en Manrique, Michelle Castellanos, Jorge Morales, Juan David Guti\'errez, Antonio Barreto Rozo, Joaqu\'in V\'elez Navarro ·

    Do Large Language Models Know Colombian Law? A Reliability Benchmark for the Colombian Legal System

    arXiv:2610.03639v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support legal practice, education, and research, yet their reliability in national legal systems outside the United States remains largely undocumented. We introduce an expert-va…