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

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

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…

This paper proposes a SemCom framework for real-time mobile 3D reconstruction, which includes a semantic transceiver and a confidence-guided geometric estimation method.

A middleware solution is proposed for unified semantic and syntactic interoperability in IoT publisher-subscriber framework, using syntax translation and semantic interoperability through a multilayer…

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.

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 proposes an empowerment-guided multi-agent system that uses semantic checkpoints and structured communication to ensure that complex scientific computing workflows maintain semantic consiste…

The paper proposes Agentic ASR, a closed-loop framework that treats ASR as a multi-turn refinement task, significantly improving semantic accuracy over traditional token-level metrics.

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

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.

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.

The paper introduces a distributional framework using Wasserstein distance to unify the semantic comparison of sparse autoencoder features across different layers and to automatically compress large f…

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.

The study compares agentic data retrieval using unstructured web data versus structured, semantically-annotated datasets, concluding that semantic metadata remains essential for high-precision, reliab…