Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval 事件

Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval arXiv:2601.16462v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has become a dominant paradigm for mitigating hallucinations in Large Language Models (LLMs) by incorporating external knowledge. However, existing RAG systems often struggle to effectively integrate and reason over key evidence scattered across noisy retrieved documents, particularly in multi-hop scenarios. In t