José Antonio Hernández López

Orcid: 0000-0003-2439-2136

According to our database1, José Antonio Hernández López authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ModelSet: A labelled dataset of software models for machine learning.
Sci. Comput. Program., January, 2024

ALPINE: An adaptive language-agnostic pruning method for language models for code.
CoRR, 2024

On Inter-dataset Code Duplication and Data Leakage in Large Language Models.
CoRR, 2024

Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Text2VQL: Teaching a Model Query Language to Open-Source Language Models with ChatGPT.
Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

ModelMate: A recommender for textual modeling languages based on pre-trained language models.
Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

2023
Generating Structurally Realistic Models With Deep Autoregressive Networks.
IEEE Trans. Software Eng., April, 2023

Word Embeddings for Model-Driven Engineering.
Proceedings of the 26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

Automated Domain Modeling with Large Language Models: A Comparative Study.
Proceedings of the 26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

2022
ModelSet: a dataset for machine learning in model-driven engineering.
Softw. Syst. Model., 2022

An efficient and scalable search engine for models.
Softw. Syst. Model., 2022

Machine learning methods for model classification: a comparative study.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, 2022

Using the ModelSet dataset to support machine learning in model-driven engineering.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
Towards the Characterization of Realistic Model Generators using Graph Neural Networks.
Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021

2020
MAR: a structure-based search engine for models.
Proceedings of the MoDELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020


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