Palacio, David N.

1. Benchmarking Causal Study to Interpret Large Language Models for Source Code
   2023/08/23 by Rodriguez-Cardenas, Daniel, Palacio, David N., Khati, Dipin +2 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
2. Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
   2024/07/12 by David N. Palacio, Palacio, David N., Daniel Rodríguez-Cárdenas +9 · 3 citations
   Social Sciences · #Access Control and Trust
3. On Explaining (Large) Language Models For Code Using Global Code-Based Explanations
   2025/03/21 by Palacio, David N., Khati, Dipin, Rodriguez-Cardenas, Daniel +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
4. How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
   2024/12/25 by Alejandro Velasco, Daniel Rodríguez-Cárdenas, Velasco, Alejandro +7 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering (cs.SE) #Software Engineering Research