✨SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
📝 Summary:
This paper proposes stable rank, an intrinsic quality signal from LLM representations, to improve alignment without external supervision. Stable rank measures effective dimensionality and is used as a reward in SR-GRPO, boosting LLM performance on reasoning tasks.
🔹 Publication Date: Published on Dec 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02807
• PDF: https://arxiv.org/pdf/2512.02807
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For more data science resources:
✓ https://t.me/DataScienceT
#StableRank #LLMAlignment #LargeLanguageModels #AIResearch #DeepLearning
📝 Summary:
This paper proposes stable rank, an intrinsic quality signal from LLM representations, to improve alignment without external supervision. Stable rank measures effective dimensionality and is used as a reward in SR-GRPO, boosting LLM performance on reasoning tasks.
🔹 Publication Date: Published on Dec 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02807
• PDF: https://arxiv.org/pdf/2512.02807
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#StableRank #LLMAlignment #LargeLanguageModels #AIResearch #DeepLearning