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Accurate and Efficient Long-Term Memory for LLM Agents

arXiv cs.AI · 2026-07-21 Cached

MOSAIC is a structured, conflict-aware long-term memory framework for LLM agents that uses entity-typed graph storage, hash-accelerated retrieval, and active conflict detection to achieve high accuracy and efficiency on long-conversation QA and factual conflict detection tasks.

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#conversational-qa

EverydayGPT: Confidence-Gated Routing for Efficient and Safe Hybrid GPT-RAG Conversational QA

arXiv cs.CL · 2026-06-11 Cached

EverydayGPT introduces Confidence-Gated Routing (CGR), a mechanism that per query decides whether to use RAG, direct GPT generation, or refusal, achieving 120x latency reduction on 85% of queries while maintaining answer quality, as demonstrated on a 500-question benchmark.

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