LongFact Objects

LongFact is a benchmark for evaluating long-form factuality in large language models. It comprises 2,280 fact-seeking prompts spanning 38 topics, designed to test a model's ability to generate accurate, long-form responses. The benchmark uses SAFE (Search-Augmented Factuality Evaluator) to evaluate factual accuracy.

GPT-5 from OpenAI currently leads the LongFact Objects leaderboard with a score of 0.008 across 1 evaluated AI models.

Paper

OpenAIGPT-5 leads with 0.8%.

Progress Over Time

Interactive timeline showing model performance evolution on LongFact Objects

State-of-the-art frontier
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LongFact Objects Leaderboard

1 models
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1
OpenAI
OpenAI
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FAQ

Common questions about LongFact Objects.

What is the LongFact Objects benchmark?

LongFact is a benchmark for evaluating long-form factuality in large language models. It comprises 2,280 fact-seeking prompts spanning 38 topics, designed to test a model's ability to generate accurate, long-form responses. The benchmark uses SAFE (Search-Augmented Factuality Evaluator) to evaluate factual accuracy.

What is the LongFact Objects leaderboard?

The LongFact Objects leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, GPT-5 by OpenAI leads with a score of 0.008. The average score across all models is 0.008.

What is the highest LongFact Objects score?

The highest LongFact Objects score is 0.008, achieved by GPT-5 from OpenAI.

How many models are evaluated on LongFact Objects?

1 models have been evaluated on the LongFact Objects benchmark, with 0 verified results and 1 self-reported results.

Where can I find the LongFact Objects paper?

The LongFact Objects paper is available at https://arxiv.org/abs/2403.18802. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does LongFact Objects cover?

LongFact Objects is categorized under general and reasoning. The benchmark evaluates text models.

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