Photo credit: Samsung

Samsung Electronics just dropped a new tool designed to put AI language models to the ultimate workplace test. It's called TRUEBench—short for Trustworthy Real-world Usage Evaluation Benchmark—and it’s a proprietary evaluation system developed by Samsung Research to figure out how productive a large language model (LLM) actually is on the job.

Why do we need a new benchmark? As more and more companies start relying on AI for daily tasks, there's a big demand for a reliable way to measure which LLMs are actually pulling their weight. The problem is, most existing benchmarks are too simple. They mostly focus on English, are limited to basic question-and-answer formats, and only measure overall performance, which just doesn't reflect the messy, multi-step reality of a real office environment.

A Deeper Dive into Workplace Tasks

TRUEBench is designed to solve that. Drawing on Samsung's own extensive use of AI for internal productivity, the system tests core enterprise tasks like content generation, data analysis, summarizing, and translation. It breaks these down across 10 categories and 46 sub-categories, using over 2,400 test sets in 12 different languages. Crucially, it also handles cross-linguistic scenarios and diverse dialogue situations, giving it a much more realistic feel.

'Samsung Research brings deep expertise and a competitive edge through its real-world AI experience,' said Paul (Kyungwhoon) Cheun, CTO of the DX Division at Samsung Electronics and Head of Samsung Research. 'We expect TRUEBench to establish evaluation standards for productivity and solidify Samsung’s technological leadership.'

Smarter, Fairer Scoring

One of the coolest parts is how TRUEBench scores models. It doesn't just check if the answer is "right"; it checks if the answer meets the implicit needs of the user, which is often the key to good productivity.

To make the scoring reliable and consistent, Samsung designed a human-AI collaborative system. Human experts set the initial evaluation criteria, then AI reviews it to catch errors or contradictions. The humans then refine it, and the cycle repeats until the criteria are extremely precise. This ensures the automated evaluation minimizes subjective bias and delivers a detailed, accurate pass/fail result for complex tasks.

Samsung is sharing this valuable tool with the wider AI community. The TRUEBench data samples and performance leaderboards are now available on the open-source platform Hugging Face. This allows users to easily compare up to five different AI models at a glance, looking at both performance and efficiency (like the average length of the model's response).

By focusing on real-world, multilingual tasks and implementing a rigorous, collaborative scoring system, TRUEBench aims to become the definitive standard for assessing AI's true value in the workplace.