RadioMaster is a multi-agent system that autonomously generates radio signals from user input using domain knowledge retrieval, collaborative I/Q sample creation, and closed-loop verification, outperforming baselines on the new RadioBench benchmark.
RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
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BLAST combines LLM agents with blockchain for decentralized spectrum trading, where Vickrey auctions achieve up to 71% of theoretical social welfare surplus and outperform non-LLM baselines in competition and efficiency.
A survey-style reference book mapping the full agentic-AI stack from transformer internals to production deployment, with no new research result.
citing papers explorer
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RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation
RadioMaster is a multi-agent system that autonomously generates radio signals from user input using domain knowledge retrieval, collaborative I/Q sample creation, and closed-loop verification, outperforming baselines on the new RadioBench benchmark.
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BLAST: Blockchain-based LLM-powered Agentic Spectrum Trading
BLAST combines LLM agents with blockchain for decentralized spectrum trading, where Vickrey auctions achieve up to 71% of theoretical social welfare surplus and outperform non-LLM baselines in competition and efficiency.
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The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
A survey-style reference book mapping the full agentic-AI stack from transformer internals to production deployment, with no new research result.