7 accepted papers
Large language model(LLM)-driven multi-agent systems(MAS) coordinate specialized agents through predefined interaction topologies and have shown promise for complex tasks such as competition-level code generation. Recent studies demonstrate that carefully designed multi-agent workflows and communica…
Computer-aided design (CAD) significantly enhances the efficiency, accuracy, and innovation of design processes by enabling precise 2D and 3D modeling, extensive analysis, and optimization. Existing methods for creating CAD models rely on latent vectors or point clouds, which are difficult to obtain…
Underwater target tracking is a critical challenge in marine exploration and defense applications due to the unknown maneuvers of target and the complex marine environment. To overcome the above challenge, this paper develops a digital twin (DT)-driven unknown maneuver target tracking strategy via r
In developing general-purpose agents, significant focus has been placed on integrating large language models (LLMs) with various tools. This poses a challenge to the tool-use capabilities of LLMs. However, there are evident gaps between existing tool evaluations and real-world scenarios. Current eva…
This letter studies the minimum time formation control issue of autonomous underwater vehicles (AUVs), subject to switching topology during the formation procedure. We first employ the smoothstep function to describe the smooth transition of communication topology. Then, a minimum time formation con
Document-Level Relation Extraction aims at predicting relations between entities from multiple sentences. A common practice is to select multi-label classification thresholds to decide whether a relation exists between an entity pair. However, in the document-level task, most entity pairs do not exp…
In this paper, we consider a simple model of distributed sensor fusion problem in sensor networks with asymmetric links, where the common goal is linear parameter estimation. For the realistic scenario of bandwidth-constrained networks, we propose a least square approach, based on distributed quanti…