Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference

Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference explores DRIFT offers an efficient dual-model framework to enhance LLMs' long-context reasoning by decoupling knowledge and inference processes.. Commercial viability score: 6/10 in LLM Inference.