AI RESEARCH
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
arXiv CS.AI
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ArXi:2604.11407v1 Announce Type: cross We revisit retrieval-augmented generation (RAG) by embedding retrieval control directly into generation. Instead of treating retrieval as an external intervention, we express retrieval decisions within token-level decoding, enabling end-to-end coordination without additional controllers or classifiers.