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Yong-Jian Tang

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#artificial intelligence Preprint Oct 2026

Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market Analysis

Agent4Spec is presented, an autonomous multi-agent framework featuring two distinct pipelines: a validation pipeline that detects and self-corrects OpenAPI syntax errors, and a market analysis pipeline that conducts competitive research, identifies functional gaps against industry leaders, and automatically generates m...

Yong-Jian Tang, C. Moraru, Doruk Tuncel et al. · 0 citations

#artificial intelligence Book Open access Oct 2026

Agent4RE: A Self-Refining Multi-agent Framework for End-to-End Software Requirements Engineering and Benchmarking

Existing LLM-based approaches for software Requirements Engineering (RE) typically rely on basic prompting strategies or rudimentary agent collaboration, under-utilizing the full potential of multi-agent systems. Meanwhile, available datasets focus on isolated subtasks, such as requirements extraction, classification,...

Yong-Jian Tang, Lin-Han Li, Thomas A. Runkler · Proceedings of the 1st Inter... · 1 citation