arXiv:2305.15788
Service Composition in the ChatGPT Era
원문 초록
The paper speculates about how ChatGPT-like systems can support the field of automated service composition and identifies new research areas to explore in order to take advantage of such tools in the field of service-oriented composition.
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RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems
Dynamic Service Composition Orchestrated by Cognitive Agents in Mobile & Pervasive Computing
NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking
토론
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