Feb. 20, 2024, 5:51 a.m. | Koren Lazar, Matan Vetzler, Guy Uziel, David Boaz, Esther Goldbraich, David Amid, Ateret Anaby-Tavor

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.11625v1 Announce Type: new
Abstract: In the digital era, the widespread use of APIs is evident. However, scalable utilization of APIs poses a challenge due to structure divergence observed in online API documentation. This underscores the need for automatic tools to facilitate API consumption. A viable approach involves the conversion of documentation into an API Specification format. While previous attempts have been made using rule-based methods, these approaches encountered difficulties in generalizing across diverse documentation. In this paper we introduce …

abstract api apis arxiv challenge consumption cs.cl digital divergence documentation language language models large language large language models openapi scalable tools type

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne