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System One model Jev shows promise in Brazilian Portuguese information retrieval tasks

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv explores the capabilities of Jev, a System One model, for information retrieval tasks in Brazilian Portuguese. Researchers found that Jev, when used as a "judge" to assess relevance, achieved significant agreement with existing relevance judgments, with most discrepancies involving only adjacent levels. Furthermore, Jev demonstrated strong performance as a reranker, substantially improving metrics like nDCG@10 and MRR compared to the BM25 baseline. AI

IMPACT This research suggests potential improvements in information retrieval systems, particularly for non-English languages, by leveraging AI models for relevance assessment and reranking.

RANK_REASON The cluster contains an academic paper detailing a new method for information retrieval. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

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

System One model Jev shows promise in Brazilian Portuguese information retrieval tasks

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The cluster contains an academic paper detailing a new method for information retrieval. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jayr Pereira ·

    Jev-as-a-Judge for Brazilian Portuguese Information Retrieval: Relevance Assessment and Reranking

    This study investigates Jev, a System One model designed for fast, structured decision-making, in information retrieval. We use Jev-as-a-judge to generate relevance judgments for four Brazilian Portuguese IR collections covering different domains and compare them with the officia…

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