DeFT-RAG decomposes multi-hop questions for RAG
DeFT-RAG reduces LLM calls by 12.9% through QA cache reuse while achieving top accuracy on multi-hop benchmarks.
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DeFT-RAG reduces LLM calls by 12.9% through QA cache reuse while achieving top accuracy on multi-hop benchmarks.
Even encrypted relays can reveal that two radios communicated, exposing both origin and destination locations.
Paper defines horizontal and vertical agent proactivity and trains a questioner that beats a 15x larger prompted model.
RegimeAbstain uses structural retrieval features to abstain on predictable multi-hop failures, cutting confident wrong answers.

Senator Ron Wyden asked the NSA to update public guidance on commercial VPN security risks and answer questions about foreign surveillance threats against single-hop VPNs.
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