✨Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMs
📝 Summary:
This paper optimizes LLM chain-of-thought reasoning by addressing redundant reflections and overthinking. It uses a graph-based framework to convert CoT into a DAG and applies dual pruning strategies to remove inefficient reflection patterns. This approach reduces reasoning tokens by 42% while ma...
🔹 Publication Date: Published on Apr 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.05643
• PDF: https://arxiv.org/pdf/2604.05643
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#LLMs #ChainOfThought #AI #GraphAlgorithms #Reasoning
📝 Summary:
This paper optimizes LLM chain-of-thought reasoning by addressing redundant reflections and overthinking. It uses a graph-based framework to convert CoT into a DAG and applies dual pruning strategies to remove inefficient reflection patterns. This approach reduces reasoning tokens by 42% while ma...
🔹 Publication Date: Published on Apr 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.05643
• PDF: https://arxiv.org/pdf/2604.05643
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#LLMs #ChainOfThought #AI #GraphAlgorithms #Reasoning