This paper proposes a framework for compositional semantic communication (CSC) in physical AI systems, enabling heterogeneous devices to transmit semantic representations that compose meaningfully at…

The paper proposes Multi-Order Communication (MOC) to overcome the limitations of standard first-order message passing in LLM-based multi-agent systems, significantly improving performance by capturin…

This paper proposes a semantic-aware task clustering method for Cooperative multi-task semantic communication (CMT-SemCom) to ensure constructive cooperation and mitigate destructive cooperation and n…

The paper proposes iCoTASC, a framework for real-time, channel-adaptive semantic resource allocation in collaborative multi-device systems using importance-aware embedding selection, data-driven utili…

mcp-proto-okn is a Python server that facilitates natural language access to complex scientific knowledge graphs, simplifying cross-domain knowledge analysis for biomedical research.

This paper investigates distributed latent-space alignment in multi-user semantic MIMO interference networks with cognitive radio constraints.

This paper proposes a spatial semantic communication (SSC) system using fluid antenna-index modulation (FA-IM) technology, which synergizes residual quantization (RQ) and IM for efficient semantic tra…

The paper proposes SAGA, a framework for schema-aware grounding in agentic text-to-SPARQL generation, which maintains a persistent type state, filters incompatible property candidates, and handles mis…

This paper introduces a new way to represent finite posets as subwords of finite words in categories, and characterizes the monic categories that admit this representation.

This paper introduces KGERMAR, a framework that constructs dynamic, context-specific knowledge graphs during inference for long-context language modeling, achieving lower perplexity and better memory…

This paper proposes a conceptual model for large language model workflows, represented as persistent knowledge objects with a distinction between deterministic computation and mediated judgment.

This paper investigates the vulnerability of semantic communication systems in shared-access wireless networks to selective over-the-air backdoor attacks and proposes a defense mechanism.

The paper proposes FedLAB, a traceable semantic codebook framework for federated multimodal graph foundation learning, which organizes multimodal graph knowledge into hierarchical codebooks and refine…

The paper introduces CBCL, a provably safe and extensible agent communication language that constrains all message extensions to the deterministic context-free language (DCFL) class.

This paper proposes a semantic-aware multiple access scheme for efficient transmission of high-volume visual data among nearby vehicles in uplink-dominant 6G systems, reducing redundant transmissions…

The paper introduces Abstract Worlds Semantics (AWS), a set-theoretic framework that treats worlds as primitive elements to provide a unified and generalized analysis of various belief change models.