NoLiMa 64K

NoLiMa evaluated at a 65536-token context length. Tests latent associative reasoning in long contexts with minimal lexical overlap between questions and needles.

MiniCPM-SALA from OpenBMB currently leads the NoLiMa 64K leaderboard with a score of 0.429 across 1 evaluated AI models.

PaperImplementation

OpenBMBMiniCPM-SALA leads with 43.0%.

Progress Over Time

Interactive timeline showing model performance evolution on NoLiMa 64K

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NoLiMa 64K Leaderboard

1 models
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FAQ

Common questions about NoLiMa 64K.

What is the NoLiMa 64K benchmark?

NoLiMa evaluated at a 65536-token context length. Tests latent associative reasoning in long contexts with minimal lexical overlap between questions and needles.

What is the NoLiMa 64K leaderboard?

The NoLiMa 64K leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, MiniCPM-SALA by OpenBMB leads with a score of 0.429. The average score across all models is 0.429.

What is the highest NoLiMa 64K score?

The highest NoLiMa 64K score is 0.429, achieved by MiniCPM-SALA from OpenBMB.

How many models are evaluated on NoLiMa 64K?

1 models have been evaluated on the NoLiMa 64K benchmark, with 0 verified results and 1 self-reported results.

Where can I find the NoLiMa 64K paper?

The NoLiMa 64K paper is available at https://arxiv.org/abs/2502.05167. The paper details the methodology, dataset construction, and evaluation criteria.

Where can I find the NoLiMa 64K dataset?

The NoLiMa 64K dataset is available at https://github.com/adobe-research/NoLiMa.

What categories does NoLiMa 64K cover?

NoLiMa 64K is categorized under long context and reasoning. The benchmark evaluates text models.

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