1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2025
When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning
Roberto Morabito, Guanghan Wu
Large Language Models (LLMs) are increasingly used to automate software generation in embedded machine learning workflows, yet their outputs often fail silently or behave unpredict…
cs.LG2025★ 1 cited
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
Adarsh Prasad Behera, Jaya Prakash Champati, Roberto Morabito +2
Recent progress in Language Models (LMs) has dramatically advanced the field of natural language processing (NLP), excelling at tasks like text generation, summarization, and quest…