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#retrieval-augmented-generation

Retrieval-Augmented Generation

RAG techniques for grounding language model outputs in financial documents and ledger data

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FLARE: Active Retrieval Augmented Generation
·mike

FLARE: Active Retrieval Augmented Generation

FLARE (EMNLP 2023) improves on standard RAG by triggering retrieval mid-generation using token-probability confidence thresholds, reaching 51.0 EM on 2WikiMultihopQA versus 39.4 for single-retrieval — but calibration failures in instruction-tuned chat models limit its reliability for production finance agents.

ai
machine-learning
llm