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The first large language model evaluation benchmark specifically targeting the actual business scenarios of Norwegian small and medium enterprises, covering 8 real task categories such as invoice parsing, contract analysis, tax calculation, legal citation, etc.
Section 01
The first large language model evaluation benchmark specifically targeting the actual business scenarios of Norwegian small and medium enterprises, covering 8 real task categories such as invoice parsing, contract analysis, tax calculation, legal citation, etc.
Section 02
Norway, as a Nordic country with a high welfare system, has a unique business environment and regulatory framework:
These characteristics mean that a model that performs well on general English benchmarks may not perform well in Norwegian local business scenarios. TenkiBench was created precisely to fill this evaluation gap.
Section 03
TenkiBench carefully designed 8 evaluation categories, each corresponding to the actual business needs of Norwegian small and medium enterprises:
Section 04
Norwegian invoices contain specific formats and fields: total amount, value-added tax (MVA), KID (customer identification number), due date, invoicer information, etc. The model needs to accurately extract these structured data.
Evaluation Method: Numerical matching + Regular expression verification
Section 05
Tests the model's ability to identify risk clauses in non-disclosure agreements (NDA), delivery agreements, and employment contracts. This requires the model to understand the nuances of legal texts.
Evaluation Method: LLM referee + Rating scale
Section 06
Covers Norwegian tax practices such as value-added tax calculation, deduction issues, and tax liability judgment. This is one of the most common financial problems for small and medium enterprises.
Evaluation Method: Numerical calculation + Regular expression verification
Section 07
Tests the model's ability to correctly cite Norwegian laws and regulations (Lovdata database). Accurate legal citation is crucial for compliance consulting.
Evaluation Method: Regular expression + Structural verification
Section 08
Based on public data from the Brønnøysund Register Centre, tests the model's ability to query business organization information, signature rights, and shareholder roles.
Evaluation Method: JSON Schema verification
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