✨Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
📝 Summary:
Parallel Context-of-Experts Decoding Pced is a training-free framework for multi-document RAG that avoids prefill bottlenecks. It treats documents as isolated experts, using a retrieval-aware contrastive decoding rule to synchronize predictions and recover cross-document reasoning.
🔹 Publication Date: Published on Jan 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.08670
• PDF: https://arxiv.org/pdf/2601.08670
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For more data science resources:
✓ https://t.me/DataScienceT
#RAG #LLM #NLP #AI #Decoding
📝 Summary:
Parallel Context-of-Experts Decoding Pced is a training-free framework for multi-document RAG that avoids prefill bottlenecks. It treats documents as isolated experts, using a retrieval-aware contrastive decoding rule to synchronize predictions and recover cross-document reasoning.
🔹 Publication Date: Published on Jan 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.08670
• PDF: https://arxiv.org/pdf/2601.08670
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#RAG #LLM #NLP #AI #Decoding