David N. Palacio

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Syntactic Structures

Top Venues

Publications

Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code? NIER@ICSE (2024)
David N. Palacio, Daniel Rodríguez-Cárdenas, Alejandro Velasco, Dipin Khati, Kevin Moran, Denys Poshyvanyk
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations. CoRR (2024)
Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code? CoRR (2024)
David N. Palacio, Nathan Cooper, Alvaro Rodriguez, Kevin Moran, Denys Poshyvanyk
Toward a Theory of Causation for Interpreting Neural Code Models. CoRR (2023)
David N. Palacio, Alejandro Velasco, Daniel Rodríguez-Cárdenas, Kevin Moran, Denys Poshyvanyk
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures. CoRR (2023)
Daniel Rodríguez-Cárdenas, David N. Palacio, Dipin Khati, Henry Burke, Denys Poshyvanyk
Benchmarking Causal Study to Interpret Large Language Models for Source Code. CoRR (2023)
Daniel Rodríguez-Cárdenas, David N. Palacio, Dipin Khati, Henry Burke, Denys Poshyvanyk
Benchmarking Causal Study to Interpret Large Language Models for Source Code. ICSME (2023)
Kevin Moran, David N. Palacio, Carlos Bernal-Cárdenas, Daniel McCrystal, Denys Poshyvanyk, Chris Shenefiel, Jeff Johnson
Improving the effectiveness of traceability link recovery using hierarchical bayesian networks. ICSE (2020)
Kevin Moran, David N. Palacio, Carlos Bernal-Cárdenas, Daniel McCrystal, Denys Poshyvanyk, Chris Shenefiel, Jeff Johnson
Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian Networks. CoRR (2020)
David N. Palacio, Daniel McCrystal, Kevin Moran, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Chris Shenefiel
Learning to Identify Security-Related Issues Using Convolutional Neural Networks. CoRR (2019)
David N. Palacio, Daniel McCrystal, Kevin Moran, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Chris Shenefiel
Learning to Identify Security-Related Issues Using Convolutional Neural Networks. ICSME (2019)