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Retrieval

Active Retrieval Augmented LLMs (FLARE)

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Active Retrieval Augmented LLMs (FLARE)
Paper summary

Actively decides when and what to retrieve during generation.

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Key points
01

Dynamic retrieval: Retrieves only when the model's next-token confidence drops - not at fixed intervals.

02

Anticipated content retrieval: Retrieves based on what the model is about to generate, not just the current context.

03

Long-form knowledge-intensive tasks: Demonstrates superior or competitive performance on long-form knowledge-intensive generation tasks.

04

Adaptive RAG: Established a research direction on adaptive/active retrieval that matured in 2024 with tools like Self-RAG and RankRAG.

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