SkillCom decomposes LLM semantic communication into four skills connected by structured semantic-unit interfaces and outperforms monolithic LLM baselines in robustness on multi-hop QA and dialogue state tracking tasks.
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A Gamma-distributed geometric constellation for ISAC, optimized with particle swarm optimization for joint sensing and communication metrics, matches neural network performance with fewer parameters and better compatibility with conventional hardware.
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SkillCom: Decomposing LLM-based Semantic Communication into Task and Channel Aware Skills
SkillCom decomposes LLM semantic communication into four skills connected by structured semantic-unit interfaces and outperforms monolithic LLM baselines in robustness on multi-hop QA and dialogue state tracking tasks.
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Gamma-Distributed Geometric Constellation for ISAC: Design and Analysis
A Gamma-distributed geometric constellation for ISAC, optimized with particle swarm optimization for joint sensing and communication metrics, matches neural network performance with fewer parameters and better compatibility with conventional hardware.