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New dataset reveals LLMs struggle with Indonesian values

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new dataset called Pancasila-Dilemmas to evaluate how well large language models (LLMs) align with Indonesian human values. The dataset contains 1,834 questions based on Indonesian news, focusing on five core values: Religion, Humanity, Unity, Democracy, and Social Justice. Initial evaluations of 50 LLMs showed that all models performed poorly, achieving less than a 0.5 Probability Match Score and a 0.72 Max-Vote Agreement Score, with particular struggles in addressing dilemmas related to religion and unity. AI

IMPACT Highlights a gap in LLM value alignment for non-Western contexts, potentially driving development of more culturally-aware AI.

RANK_REASON The cluster contains a research paper introducing a new dataset and evaluation methodology for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

New dataset reveals LLMs struggle with Indonesian values

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The cluster contains a research paper introducing a new dataset and evaluation methodology for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Supryadi, Irfan, Julianti, Darren Keanly Martin, Jayvin Fernando, Yuqi Ren, Deyi Xiong ·

    Pancasila-Dilemmas: Evaluating Large Language Models on Indonesian Human Value Dilemmas Grounded in Pancasila

    arXiv:2607.18066v1 Announce Type: new Abstract: The value alignment of large language models (LLMs) is crucial for ensuring responses align with human intention and value preferences. However, most evaluations of value alignment focus on Western or universal values, while assessm…

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