Samsung’s Platform Evaluates Large Language Models Across Real-World Office Tasks and Languages
Samsung Electronics has introduced TRUEBench, an in-house platform created to evaluate how effectively artificial intelligence (AI) models perform in practical workplace settings. Developed by Samsung Research, the company’s advanced R&D division within the DX unit, TRUEBench evaluates how AI—particularly large language models (LLMs)—performs across workplace tasks. The platform provides businesses and researchers with practical insights into AI capabilities, addressing a key challenge: current benchmarks often fail to reflect real work scenarios.
TRUEBench integrates diverse dialogue scenarios and multilingual conditions, ensuring evaluations capture realistic workplace interactions. By drawing on Samsung’s own experience with generative AI applications, the benchmark aims to be the tool for assessing AI contributions to productivity, rather than simply measuring theoretical performance.
Comprehensive Evaluation Across Enterprise Tasks
The benchmark measures AI performance across 10 categories and 46 subcategories of typical enterprise tasks, such as:
- Content creation and document drafting
- Data analysis and reporting
- Summarization of short and long-form documents
- Translation and multilingual communication
TRUEBench comprises 2,485 granular test items, simulating tasks from short user prompts to summaries of documents exceeding 20,000 characters. This design allows the platform to capture AI performance across a spectrum of real-world office tasks, providing more nuanced insights than conventional benchmarks.
Hybrid Human-AI Review for Accuracy
A unique feature of TRUEBench is its dual human-AI evaluation process. Human annotators first design evaluation criteria, which are then reviewed by AI systems to detect inconsistencies, errors, or unnecessary constraints. This iterative process refines the criteria, ensuring that automatic evaluation of AI models is consistent and minimizes subjective bias.
To receive full marks, AI models must satisfy all test conditions. This approach enables detailed performance analysis, highlighting not just overall productivity but specific strengths and weaknesses across tasks.
Multilingual and Cross-Lingual Capabilities
Recognizing the global nature of modern business, TRUEBench supports 12 languages—including Korean, English, Japanese, Chinese, and Spanish—and evaluates cross-lingual scenarios where multiple languages are mixed. This feature allows companies to gauge AI performance in diverse linguistic contexts, critical for multinational operations and cross-border communication.
Transparent Results and Model Comparisons
TRUEBench provides detailed evaluation results, including:
- Overall productivity scores
- Category-specific scores for granular insights
- Leaderboards allowing comparison of up to five AI models simultaneously
Hosted on the global open-source platform Hugging Face, the benchmark also discloses metrics such as the average length of AI-generated responses, enabling users to assess both performance and efficiency simultaneously.
Addressing Limitations of Existing Benchmarks
Traditional AI benchmarks are often limited by their English-centric focus, single-turn evaluation structure, and inability to reflect continuous or complex workplace tasks. TRUEBench addresses these gaps by:
- Evaluating AI across multiple languages
- Covering real-world workflows with ongoing dialogue and complex tasks
- Incorporating both explicit and implicit user intent in assessments
Implications for Businesses and AI Development
Samsung Research emphasizes that TRUEBench reflects extensive real-world experience with AI in business environments. According to Jeon Kyung-hoon, CTO of the DX Division and head of Samsung Research, the platform is a step toward establishing standardized metrics for AI productivity, strengthening Samsung’s leadership in enterprise AI technology.
Overall, TRUEBench provides a detailed, practical, and scalable framework for assessing AI performance. By combining multilingual testing, real-world task coverage, and rigorous evaluation standards, the platform equips businesses with actionable insights for informed AI adoption and supports the development of productivity-focused AI solutions.
