MAXIFE

MAXIFE is a benchmark for performance in languages other than English. The official description says: "MAXIFE - multilingual instruction following benchmark". Below we describe in simple words what benchmarks of this type generally examine.

MAXIFE measures performance in languages other than english. In detail, it checks:

• understanding and answering in many different languages
• translation quality between language pairs
• keeping math and reasoning quality when the question is not in English
• treating low-resource languages fairly instead of defaulting to English

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: MAXIFE - multilingual instruction following benchmark. Reports accuracy on English + multilingual original prompts (23 settings total).

What is the MAXIFE benchmark?

MAXIFE is a benchmark for performance in languages other than English. The official description says: 'MAXIFE - multilingual instruction following benchmark'. Below we describe in simple words what benchmarks of this type generally examine.

What does MAXIFE test?

MAXIFE mainly measures performance in languages other than English. Concretely, it checks: understanding and answering in many different languages; translation quality between language pairs; keeping math and reasoning quality when the question is not in English.

How is the MAXIFE score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Where do I get MAXIFE data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/maxife/scores) or pull it directly from the Open LLM Radar API with any HTTP client.