LOGO -- Long cOntext aliGnment via efficient preference Optimization
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2410.18533
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ZetangForwardĀ
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2 months ago
dyyyyyyyyĀ
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2 months ago
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š We present ScaleQuest-Math-1M, a mathematical reasoning dataset of 1 million high-quality question-answer pairs.
š„ We propose ScaleQuest, a scalable and novel data synthesis method that utilizes small-size open-source models to generate questions from scratch.
Project Page: https://scalequest.github.io/
Dataset: dyyyyyyyy/ScaleQuest-Math
Paper: Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch (2410.18693)
HF Collection: dyyyyyyyy/scalequest-670a7dc2623c91990f28913b
š„ We propose ScaleQuest, a scalable and novel data synthesis method that utilizes small-size open-source models to generate questions from scratch.
Project Page: https://scalequest.github.io/
Dataset: dyyyyyyyy/ScaleQuest-Math
Paper: Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch (2410.18693)
HF Collection: dyyyyyyyy/scalequest-670a7dc2623c91990f28913b
ZetangForwardĀ
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paper
3 months ago
ZetangForwardĀ
updated
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Space
8 months ago
OpenBAĀ
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9 months ago
dyyyyyyyyĀ
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10 months ago
ZetangForwardĀ
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11 months ago
dyyyyyyyyĀ
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about 1 year ago
OpenBAĀ
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