Benchmarking Causal Study to Interpret Large Language Models for Source Code. - Daniel Rodríguez-Cárdenas; David N. Palacio; Dipin Khati; Henry Burke; Denys Poshyvanyk (ICSME, 2023)

Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations. - David N. Palacio; Daniel Rodríguez-Cárdenas; Alejandro Velasco; Dipin Khati; Kevin Moran; Denys Poshyvanyk (CoRR, 2024)

Trustworthiness of Large Language Models for Code. - Dipin Khati (ICSE Companion, 2025)

Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives. - Dipin Khati; Yijin Liu; David N. Palacio; Yixuan Zhang; Denys Poshyvanyk (CoRR, 2025)

On Explaining (Large) Language Models For Code Using Global Code-Based Explanations. - David N. Palacio; Dipin Khati; Daniel Rodríguez-Cárdenas; Alejandro Velasco; Denys Poshyvanyk (CoRR, 2025)