AI RESEARCH
GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics
arXiv CS.AI
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ArXi:2503.21735v4 Announce Type: replace-cross Ensuring reliable data-driven decisions is crucial in domains where analytical accuracy directly impacts safety, compliance, or operational outcomes. Decision in such domains relies on large tabular datasets, where manual analysis is slow, costly, and error-prone. While Large Language Models (LLMs) offer promising automation potential, they face challenges in analytical reasoning, structured data handling, and ambiguity resolution. This paper