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Found 9 papers, 2 papers with code
Semantic Communications with Explicit Semantic Bases: Model, Architecture, and Open Problems
Compared to traditional communication systems that focus on the accurate reconstruction of bit sequences, semantic communications (SemComs), which aim to successfully deliver information connotation, have been regarded as the key technology for next-generation communication systems.
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications
Intelligent task-oriented semantic communications (SemComs) have witnessed great progress with the development of deep learning (DL).
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
To address this challenge, we introduce Conifer, a novel instruction tuning dataset, designed to enhance LLMs to follow multi-level instructions with complex constraints.
Semantic Communications with Explicit Semantic Base for Image Transmission
Semantic communications, aiming at ensuring the successful delivery of the meaning of information, are expected to be one of the potential techniques for the next generation communications.
Dynamic UAV Swarm Collaboration for Multi-Targets Tracking under Malicious Jamming: Joint Power, Path and Target Association Optimization
First, a cluster-evolutionary target association (CETA) algorithm is proposed, which involves dividing the UAV swarm into the multiple sub-swarms and individually matching these sub-swarms to targets.
Scalable Multi-task Semantic Communication System with Feature Importance Ranking
Semantic communications are expected to be an innovative solution to the emerging intelligent applications in the era of connected intelligence.
Semantic Communication for Internet of Vehicles: A Multi-User Cooperative Approach
Internet of Vehicles (IoV) is expected to become the central infrastructure to provide advanced services to connected vehicles and users for higher transportation efficiency and security.
bert2BERT: Towards Reusable Pretrained Language Models
However, large language model pre-training costs intensive computational resources and most of the models are trained from scratch without reusing the existing pre-trained models, which is wasteful.
Automatic Construction of Sememe Knowledge Bases via Dictionaries
We use this method to build an English SKB and a French SKB, and conduct comprehensive evaluations from both intrinsic and extrinsic perspectives.
