Add news of comparability to NuminaMath-7B
Browse files
README.md
CHANGED
|
@@ -90,6 +90,9 @@ model-index:
|
|
| 90 |
|
| 91 |
🐦 [Thread@X(Twitter)](https://x.com/tongyx361/status/1811413243350454455) | 🐶 [中文博客@知乎](https://zhuanlan.zhihu.com/p/708371895) | 📊 [Leaderboard@PapersWithCode](https://paperswithcode.com/paper/dart-math-difficulty-aware-rejection-tuning#results) | 📑 [BibTeX](https://github.com/hkust-nlp/dart-math?tab=readme-ov-file#citation)
|
| 92 |
|
|
|
|
|
|
|
|
|
|
| 93 |
## Models: `DART-Math`
|
| 94 |
|
| 95 |
`DART-Math` models achieve performance **superior or competitive to previous SOTAs** on 2 in-domain and 4 challenging out-of-domain mathematical reasoning benchmarks, despite using **much smaller datasets** and **no proprietary model like GPT-4**.
|
|
|
|
| 90 |
|
| 91 |
🐦 [Thread@X(Twitter)](https://x.com/tongyx361/status/1811413243350454455) | 🐶 [中文博客@知乎](https://zhuanlan.zhihu.com/p/708371895) | 📊 [Leaderboard@PapersWithCode](https://paperswithcode.com/paper/dart-math-difficulty-aware-rejection-tuning#results) | 📑 [BibTeX](https://github.com/hkust-nlp/dart-math?tab=readme-ov-file#citation)
|
| 92 |
|
| 93 |
+
> [!IMPORTANT]
|
| 94 |
+
> 🔥 Excited to find **[our `DART-Math-DSMath-7B` (Prop2Diff)](https://huggingface.co/hkust-nlp/dart-math-dsmath-7b-prop2diff) [comparable](https://github.com/project-numina/aimo-progress-prize/blob/main/report/numina_dataset.pdf) to the AIMO winner [NuminaMath-7B](https://huggingface.co/AI-MO/NuminaMath-7B-CoT)**, but based solely on [MATH](https://huggingface.co/datasets/hkust-nlp/dart-math-pool-math-query-info) & [GSM8K](https://huggingface.co/datasets/hkust-nlp/dart-math-pool-gsm8k-query-info) prompt set! Join the discussion under this [X thread](https://x.com/tongyx361/status/1815112376649134172)!
|
| 95 |
+
|
| 96 |
## Models: `DART-Math`
|
| 97 |
|
| 98 |
`DART-Math` models achieve performance **superior or competitive to previous SOTAs** on 2 in-domain and 4 challenging out-of-domain mathematical reasoning benchmarks, despite using **much smaller datasets** and **no proprietary model like GPT-4**.
|