SEEK: Steering LLM Reasoning for RAG via Internal Reasoning Sketches 事件

SEEK: Steering LLM Reasoning for RAG via Internal Reasoning Sketches arXiv:2601.09402v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by incorporating external knowledge into the generation process. Benefiting from the reasoning capabilities of LLMs, existing methods have leveraged such capabilities to enable iterative knowledge acquisition and accumulation, thereby better supporting answer generation. However, as the reasoning traje