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hkust-nlp/dart-math-hard

๐ŸŽฏ DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ๐Ÿ“ Paper@arXiv | ๐Ÿค— Datasets&Models@HF | ๐Ÿฑ Code@GitHub ๐Ÿฆ Thread@X(Twitter) | ๐Ÿถ ไธญๆ–‡ๅšๅฎข@็ŸฅไนŽ | ๐Ÿ“Š Leaderboard@PapersWithCode | ๐Ÿ“‘ BibTeX [!IMPORTANT] ๐Ÿ”ฅ Excited to find our DART-Math-DSMath-7B (Prop2Diff) trained on DART-Math-Hard comparable to the AIMO winner NuminaMath-7B on CoT, but based solely on MATH & GSM8K prompt set, leaving much room to improve! Besides, our DART method is alsoโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/dart-math-hard.

Author / organizationhkust-nlp
License (as declared)mit
Downloads2K (as reported by Hugging Face)
Likes16
Created29 May 2024
Last updated at source2 August 2024
syntheticmathematics
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  • 16 Oct 2026 Description: ๐ŸŽฏ DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ๐Ÿ“ Paper@arXiv | ๐Ÿค— Datasets&Models@HF | ๐Ÿฑ Code@GitHub ๐Ÿฆ Thread@X(Twitter) | ๐Ÿถ ไธญๆ–‡ๅšๅฎข@็ŸฅไนŽ | ๐Ÿ“Š Leaderboard@PapersWithCode | ๐Ÿ“‘ BibTeX [!IMPORTANT] ๐Ÿ”ฅ Excited t โ†’ ๐ŸŽฏ DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ๐Ÿ“ Paper@arXiv&nbsp;|&nbsp;๐Ÿค— Datasets&Models@HF | ๐Ÿฑ Code@GitHub ๐Ÿฆ Thread@X(Twitter) | ๐Ÿถ ไธญๆ–‡ๅšๅฎข@็ŸฅไนŽ | ๐Ÿ“Š Leaderboard@PapersWithCode | ๐Ÿ“‘ BibTeX [!IMPORTANT] ๐Ÿ”ฅ

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