arXiv (All)
open access
TenetBench: A Clause-Anchored Russian Corpus for Evaluating Language Models against Professional Codes of Ethics
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. Evaluations reporting broad categories of harm cannot show how often
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Pro Se Litigants: Application of a Single Objective Standard Under FRCP 11 to Reduce Frivolous Litigation#1020128
- Wieszcz-XIX: A 3.1-Billion-Word Corpus of Pre-1918 Polish and Temporally Bounded Language Models Trained From Scratch#1247519
- NATURAL LANGUAGE QUERYING OF HISTORICAL DATABASES -- THE QE-III LANGUAGE DEFINITION AND EXAMPLES#933572
- Criteria, procedure and evaluation of results of dissertational researches on the theory and history of law, government and jurisprudence in Russia (1802-2014)#1178050
- Applied Ethics: its Nature, Methods and Related Challenges#744547
Record · ID 1414082
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive