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New Russian Corpus Evaluates LLMs Against Professional Ethics

By PulseAugur Editorial · [1 sources] ·

Researchers have developed TenetBench, a new Russian-language corpus designed to evaluate how well large language models adhere to professional codes of ethics. The corpus pairs requests that conflict with ethical clauses with benign alternatives, allowing for precise assessment of model behavior. Initial evaluations of fourteen models revealed that most produced conflicting content without adequate warnings, highlighting a significant gap in ethical compliance among current LLMs. AI

IMPACT This dataset could lead to more robust LLM safety evaluations, particularly concerning ethical compliance in professional contexts.

RANK_REASON The cluster contains an academic paper detailing 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 Russian Corpus Evaluates LLMs Against Professional Ethics

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The cluster contains an academic paper detailing a new dataset and evaluation methodology for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, safety
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4 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yegor Anichkov, Valery Vinogradov, Andrey Furov, Marina Polukoshko, Sergey Bolovtsov ·

    TenetBench: A Clause-Anchored Russian Corpus for Evaluating Language Models against Professional Codes of Ethics

    arXiv:2610.29477v1 Announce Type: new Abstract: Codes of professional ethics guide and restrict specialists, who increasingly work with assistants built on large language models. Such an assistant can breach the user's code, or help the user breach it, without the user noticing. …

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