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Data-Efficient Language Modeling: From Frontier Advancement to Principle-Guided Model Improvement

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.10702v1 Announce Type: new Abstract: Learning from limited text requires models to use context, generalize to new inputs, and retain useful capabilities. Qiushi Engine conducted a long-horizon, end-to-end autonomous research program on BabyLM 2026 Strict-Small, within 10 million corpus w…

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  1. 2026-09-11 04:00 · arXiv cs.CL
    Data-Efficient Language Modeling: From Frontier Advancement to Principle-Guided Model Improvement

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