Service Composition in the ChatGPT Era
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 3 of its 19 references that are in the map. First posted on arXiv 25 May 2023.
Builds on
3 of 19 references.
References · 3
- 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
- 2023GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Modelscited by 176
- 2022Talking About Large Language Modelscited by 175
Built on by
Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Modelscited by 33
- 2025A Survey of AIOps in the Era of Large Language Modelscited by 19
- 2025Initial Steps in Integrating Large Reasoning and Action Models for Service Compositioncited by 0
- 2026Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Rankingcited by 0
- 2026Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking9 Mar 2026
- 2025Initial Steps in Integrating Large Reasoning and Action Models for Service Composition24 Jul 2025
- 2025A Survey of AIOps in the Era of Large Language Models23 Jun 2025
- 2024DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models4 Apr 2024