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Transfer More Knowledge with Less Multilingual Data

Transfer More Knowledge with Less Multilingual Data

Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.

Apple Machine LearningOfficial1d ago#multilingual-models
Unverified Harness Claims to Beat Fable 5

Unverified Harness Claims to Beat Fable 5

The community project J-Space Cognition Suite claims to improve DeepSeek V4-Pro-0813 through an inference-time Agent Harness without changing model weights. Its reported gains on several benchmarks have not been independently reproduced, and the project is unrelated to Anthropic's internal J-space interpretability research.

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