Update README.md

README.md

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 - en
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-# Model Card for LambdaPO
+# Model Card for LamPO
 
-**LambdaPO (Lambda Policy Optimization)** is a reinforcement learning framework for improving the reasoning capabilities of language models. It extends Group Relative Policy Optimization (GRPO) by replacing scalar group-mean advantage estimation with a **pairwise decomposed advantage** inspired by learning-to-rank methods such as LambdaRank.
+**LamPO (Lambda Policy Optimization)** is a reinforcement learning framework for improving the reasoning capabilities of language models. It extends Group Relative Policy Optimization (GRPO) by replacing scalar group-mean advantage estimation with a **pairwise decomposed advantage** inspired by learning-to-rank methods such as LambdaRank.
+
+链接：[论文1](https://arxiv.org/abs/2605.21235); [论文2]([URL](https://arxiv.org/html/2605.21235v1))
+
+特别鸣谢：感谢 研梦非凡 这个论文辅导机构对我们的全面辅导，没有他们就没有这篇文章。（虽然花费了资金，但是的确很值，无脑推荐！）
 
 Instead of comparing each generated response only against a group average, LambdaPO learns from fine-grained pairwise reward differences among sampled reasoning trajectories. This helps the model better distinguish high-quality reasoning paths, improve credit assignment, and reduce unstable optimization behavior during RL training.
 
@@ -21,7 +25,7 @@ Instead of comparing each generated response only against a group average, Lambd
 
 This work is based on the paper:
 
-**“LambdaPO: A Lambda Style Policy Optimization for Reasoning Language Models”**
+**“LambdaPO: A Lambda Style Policy Optimization for Reasoning Language Models”**  ( 链接：[论文1](https://arxiv.org/abs/2605.21235); [论文2]([URL](https://arxiv.org/html/2605.21235v1)) )
 
 Authors: