Update README.md

README.md

@@ -75,7 +75,7 @@ A more detailed description of the training recipe can be found in our [blog pos
 We report Pass@1 accuracy averaged over 16 samples for each problem.
 | Model | AIME 2024 | MATH 500 | AMC 2023 | Minerva Math | OlympiadBench | Avg. |
 |-------|-----------|-----------|-----------|--------------|---------------|------|
-| 2.5-7B-Instruct | 13.3 | 79.8 | 50.6 | 34.6 | 40.7 | 43.8 |
+| Qwen-2.5-7B-Instruct | 13.3 | 79.8 | 50.6 | 34.6 | 40.7 | 43.8 |
 | rStar-Math-7B | 26.7 | 78.4 | 47.5 | - | 47.1 | - |
 | Eurus-2-7B-PRIME | 26.7 | 79.2 | 57.8 | 38.6 | 42.1 | 48.9 |
 | Qwen2.5-7B-SimpleRL | 26.7 | 82.4 | 62.5 | <strong>39.7</strong> | 43.3 | 50.9 |
@@ -107,7 +107,7 @@ This permissive license ensures that researchers, developers, and enthusiasts wo
 ```bibtex
 @misc{deepscaler2025,
   title={DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL},
-  author={Michael Luo and Sijun Tan and Justin Wong and Xiaoxiang Shi and William Tang and Manan Roongta and Colin Cai and Jeffrey Luo and Tianjun Zhang and Erran Li and Raluca Ada Popa and Ion Stoica},
+  author={Michael Luo and Sijun Tan and Justin Wong and Xiaoxiang Shi and William Y. Tang and Manan Roongta and Colin Cai and Jeffrey Luo and Tianjun Zhang and Li Erran Li and Raluca Ada Popa and Ion Stoica},
   year={2025},
   howpublished={\url{https://pretty-radio-b75.notion.site/DeepScaleR-Surpassing-O1-Preview-with-a-1-5B-Model-by-Scaling-RL-19681902c1468005bed8ca303013a4e2}},
   note={Notion Blog}