Semantic Communication

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 44 papers with code (409 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things
  6 Nov 2023 2 repositories listed
  Particularly, at the transmitter side, a high-precision image semantic segmentation algorithm is proposed to extract the semantic information of the image to achieve significant compression of the image data.
• Adaptive Semantic Token Communication for Transformer-based Edge Inference
  23 May 2025 1 repository listed
  This paper presents an adaptive framework for edge inference based on a dynamically configurable transformer-powered deep joint source channel coding (DJSCC) architecture.
• A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
  12 Mar 2025 1 repository listed
  The integration of machine learning (ML) has significantly enhanced the capabilities of Earth Observation (EO) systems by enabling the extraction of actionable insights from complex datasets.
• SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
  27 Feb 2025 1 repository listed
  {Secondly,} to compensate for semantic model utility degradation caused by unlearning, we propose a contrastive compensation method, which considers the erased data as the negative samples and the remaining data as the…
• SpikACom: A Neuromorphic Computing Framework for Green Communications
  24 Feb 2025 1 repository listed
  The ever-growing power consumption of wireless communication systems necessitates more energy-efficient algorithms.
• GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
  17 Jan 2025 1 repository listed
  We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), quantum computing, and semantic communication for…
• Large Model Empowered Streaming Speech Semantic Communications
  10 Jan 2025 1 repository listed
  In this paper, we introduce a large model-empowered streaming semantic communication system for speech transmission across various languages, named LSSC-ST.
• Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
  7 Nov 2024 1 repository listed
  In this paper, we introduce semantic communication into a cellular vehicle-to-everything (C-V2X)- based autonomous vehicle platoon system for the first time, aiming to achieve efficient management of communication…
• Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications
  30 Oct 2024 1 repository listed
  Task-oriented semantic communication systems have emerged as a promising approach to achieving efficient and intelligent data transmission, where only information relevant to a specific task is communicated.
• Lightweight Diffusion Models for Resource-Constrained Semantic Communication
  3 Oct 2024 1 repository listed
  Despite their impressive ability to regenerate content from the compressed semantic information received, generative models pose crucial challenges for communication systems in terms of high memory footprints and heavy…
• Compressed learning based onboard semantic compression for remote sensing platforms
  3 Sep 2024 1 repository listed
  In this work, semantic compression is studied through a compressed learning framework that utilizes only fast and sparse matrix-vector multiplication to encode the data.
• Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack
  9 Aug 2024 1 repository listed
  In particular, in the FE stage, we learn the representation ability of semantic information by end-to-end training the encoder and decoder in an analog manner.
• MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication
  22 Jun 2024 1 repository listed
  However, the development of Semantic Communication faces a crucial challenge: the need for universal metrics to benchmark the joint effects of semantic information loss and energy consumption.
• Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
  11 Jun 2024 1 repository listed
  This optimization encompasses the optimal link of V2V and V2I sharing strategies, the transmission power for vehicles sending semantic information and the length of transmitted semantic symbols, aiming at maximizing…
• Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
  9 Jun 2024 1 repository listed
  Deep learning (DL)-based Semantic Communications (SemCom) is becoming critical to maximize overall efficiency of communication networks.
• From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication
  8 Jun 2024 1 repository listed
  Herein, we treat modulation/demodulation as a constrained quantization process and introduce scaling operations alongside manually crafted noise to approximate this process.
• SMC++: Masked Learning of Unsupervised Video Semantic Compression
  7 Jun 2024 1 repository listed
  In this paper, we propose a Masked Video Modeling (MVM)-powered compression framework that particularly preserves video semantics, by jointly mining and compressing the semantics in a self-supervised manner.
• Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
  30 May 2024 1 repository listed
  On the other hand, at extremely low bitrates, Promptus can enhance the perceptual quality by 0.
• Language-Oriented Semantic Latent Representation for Image Transmission
  16 May 2024 1 repository listed
  In the new paradigm of semantic communication (SC), the focus is on delivering meanings behind bits by extracting semantic information from raw data.
• Evolving Semantic Communication with Generative Model
  29 Mar 2024 1 repository listed
  In this paper, we explore an evolving semantic communication system for image transmission, referred to as ESemCom, with the capability to continuously enhance transmission efficiency.
• GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
  27 Mar 2024 1 repository listed
  In this paper, we propose GeNet, a Graph Neural Network (GNN)-based paradigm for semantic communication aimed at combating noise, thereby facilitating Task-Oriented Communication (TOC).
• MOC-RVQ: Multilevel Codebook-Assisted Digital Generative Semantic Communication
  2 Jan 2024 1 repository listed
  In the second stage, a noise reduction block (NRB) based on Swin Transformer is introduced, coupled with the multilevel codebook from the first stage, serving as a high-quality semantic knowledge base (SKB) for…
• Transformers for Green Semantic Communication: Less Energy, More Semantics
  11 Oct 2023 1 repository listed
  Semantic communication aims to transmit meaningful and effective information, rather than focusing on individual symbols or bits.
• Distortion Resilience for Goal-Oriented Semantic Communication
  26 Sep 2023 1 repository listed
  Recent research efforts on Semantic Communication (SemCom) have mostly considered accuracy as a main problem for optimizing goal-oriented communication systems.
• Alleviating Distortion Accumulation in Multi-Hop Semantic Communication
  22 Aug 2023 1 repository listed
  To address the problem of distortion accumulation, we introduce a novel recursive training method for the encoder and decoder of semantic communication systems.
• Two-Way Semantic Transmission of Images without Feedback
  15 Jun 2023 1 repository listed
  As a competitive technology for 6G, semantic communications can significantly improve transmission efficiency.
• Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
  7 Jun 2023 1 repository listed Syntology ran 12 of 17 samples · 5 unverified
  We prove, through an in-depth assessment of multiple scenarios, that our method outperforms existing solutions in generating high-quality images with preserved semantic information even in cases where the received…
• Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient
  5 May 2023 1 repository listed
  Following the recent success of Machine Learning tools in wireless communications, the idea of semantic communication by Weaver from 1949 has gained attention.
• Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning
  28 Oct 2022 1 repository listed
  A federated GCN-based collaborative reasoning solution is proposed to allow multiple edge servers to jointly construct a shared semantic interpretation model based on decentralized knowledge datasets.
• SNN-SC: A Spiking Semantic Communication Framework for Collaborative Intelligence
  13 Oct 2022 1 repository listed
  In this paper, we propose a Spiking Neural Network (SNN)-based Semantic Communication (SC) model, SNN-SC, which extracts compact semantic information from features and transmits it through digital binary channels.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.