A multi-agent semantic rewriting system for RAG cuts targeted privacy leakage from 144 to 1 instances on LLaMA-3-8B while raising BLEU-1 to 0.122 over SAGE's 0.117, with offline preprocessing.
Rag-kg-il: A multi-agent hybrid framework for reducing hallucinations and enhancing llm reasoning through rag and incremental knowledge graph learning integration
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A survey consolidating benchmarks, agent frameworks, real-world applications, and protocols for LLM-based autonomous agents into a proposed taxonomy with recommendations for future research.
citing papers explorer
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Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity
A multi-agent semantic rewriting system for RAG cuts targeted privacy leakage from 144 to 1 instances on LLaMA-3-8B while raising BLEU-1 to 0.122 over SAGE's 0.117, with offline preprocessing.
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From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
A survey consolidating benchmarks, agent frameworks, real-world applications, and protocols for LLM-based autonomous agents into a proposed taxonomy with recommendations for future research.