NoLiMa 128K

NoLiMa evaluated at a 131072-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 128K leaderboard with a score of 0.239 across 1 evaluated AI models.

PaperImplementation

OpenBMBMiniCPM-SALA leads with 23.9%.

Progress Over Time

Interactive timeline showing model performance evolution on NoLiMa 128K

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NoLiMa 128K Leaderboard

1 models
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FAQ

Common questions about NoLiMa 128K.

What is the NoLiMa 128K benchmark?

NoLiMa evaluated at a 131072-token context length. Tests latent associative reasoning in long contexts with minimal lexical overlap between questions and needles.

What is the NoLiMa 128K leaderboard?

The NoLiMa 128K leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, MiniCPM-SALA by OpenBMB leads with a score of 0.239. The average score across all models is 0.239.

What is the highest NoLiMa 128K score?

The highest NoLiMa 128K score is 0.239, achieved by MiniCPM-SALA from OpenBMB.

How many models are evaluated on NoLiMa 128K?

1 models have been evaluated on the NoLiMa 128K benchmark, with 0 verified results and 1 self-reported results.

Where can I find the NoLiMa 128K paper?

The NoLiMa 128K 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 128K dataset?

The NoLiMa 128K dataset is available at https://github.com/adobe-research/NoLiMa.

What categories does NoLiMa 128K cover?

NoLiMa 128K is categorized under long context and reasoning. The benchmark evaluates text models.

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